Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Ada Learns To Count
Download Ada Learns To Count full books in PDF, epub, and Kindle. Read online Ada Learns To Count ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Ada Learns to Count by : David James Sheen
Download or read book Ada Learns to Count written by David James Sheen and published by Pelangi ePublishing Sdn Bhd. This book was released on 2012-12-01 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is suitable for children age 4 to 7. “Ada Learns to Count” is a story about a little snake, Ada, learning to count. Ada is bored of counting. But when Bab comes along and teaches her to count the fun way, Ada finds that she actually like to count!
Book Synopsis Ada and the Number-Crunching Machine by : Zoë Tucker
Download or read book Ada and the Number-Crunching Machine written by Zoë Tucker and published by NorthSouth Books. This book was released on 2019-09-03 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Ada. Although she might look like an ordinary little girl, she’s about to change the world. Augusta Ada Byron, better known as Ada Lovelace, is an inquisitive child. Like her clever mother, she loves solving problems—big problems, little problems, and tricky, complicated problems. Ada invents crazy contraptions and reads all the books in the library of her father, the poet Lord Byron; but most of all she loves to solve mathematical problems. Together with her teacher, the mathematician Charles Babbage, Ada invents the world’s first computer program. Her achievements made her a pioneer for women in the sciences. Zoë Tucker’s words capture the adventurous life of Ada succinctly, and debut picture book illustrator Rachel Katstaller’s art infuses Victorian London with humor. "An impressively balanced mix of engaging description and important facts with a quick explanation of the gender politics of the time and information about Ada's legacy...Inspiring, feminist, and informative in equal parts." –Kirkus Reviews
Book Synopsis Ada Byron Lovelace and the Thinking Machine by : Laurie Wallmark
Download or read book Ada Byron Lovelace and the Thinking Machine written by Laurie Wallmark and published by . This book was released on 2015 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers an illustrated telling of the story of Ada Byron Lovelace, from her early creative fascination with mathematics and science and her devastating bout with measles, to the ground-breaking algorithm she wrote for Charles Babbage's analytical engine.
Book Synopsis The War that Saved My Life by : Kimberly Brubaker Bradley
Download or read book The War that Saved My Life written by Kimberly Brubaker Bradley and published by Penguin. This book was released on 2015-01-08 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Newbery Honor Book * #1 New York Times Bestseller * Winner of the Schneider Family Book Award * Forbes 25 Top Historical Fiction Books Of All Time selection * Wall Street Journal Best Children's Books of the Year selection * New York Public Library's 100 Books for Reading and Sharing selection An exceptionally moving story of triumph against all odds set during World War II, from the acclaimed author of Fighting Words, and for fans of Fish in a Tree and Number the Stars. Ten-year-old Ada has never left her one-room apartment. Her mother is too humiliated by Ada’s twisted foot to let her outside. So when her little brother Jamie is shipped out of London to escape the war, Ada doesn’t waste a minute—she sneaks out to join him. So begins a new adventure for Ada, and for Susan Smith, the woman who is forced to take the two kids in. As Ada teaches herself to ride a pony, learns to read, and watches for German spies, she begins to trust Susan—and Susan begins to love Ada and Jamie. But in the end, will their bond be enough to hold them together through wartime? Or will Ada and her brother fall back into the cruel hands of their mother? This masterful work of historical fiction is equal parts adventure and a moving tale of family and identity—a classic in the making. "Achingly lovely...Nuanced and emotionally acute."—The Wall Street Journal "Unforgettable...unflinching."—Common Sense Media "Touching...Emotionally charged." —Forbes ★ “Brisk and honest...Cause for celebration.” —Kirkus, starred review ★ "Poignant."—Publishers Weekly, starred review ★ "Powerful."—The Horn Book, starred review "Affecting."—Booklist "Emotionally satisfying...[A] page-turner."—BCCB “Exquisitely written...Heart-lifting.” —SLJ "Astounding...This book is remarkable."—Karen Cushman, author The Midwife's Apprentice "Beautifully told."—Patricia MacLachlan, author of Sarah, Plain and Tall "I read this novel in two big gulps."—Gary D. Schmidt, author of Okay for Now "I love Ada's bold heart...Her story's riveting."—Sheila Turnage, author of Three Times Lucky
Download or read book Back Home written by Michelle Magorian and published by Penguin UK. This book was released on 1987-08-27 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: WW2 has just ended and twelve-year-old Rusty comes back home to Britain after being evacuated to the US. The greyness and bleakness of life in England is a shock, but even worse is adapting to the strict discipline of her family, including a brother she's never met, after the warmth and openness of her adopted American family. Rusty is sent to an horrific boarding school, before finally running away as her search for happiness becomes more and more desperate.
Book Synopsis Ada, or Ardor: A Family Chronicle by : Vladimir Nabokov
Download or read book Ada, or Ardor: A Family Chronicle written by Vladimir Nabokov and published by ببلومانيا للنشر والتوزيع. This book was released on 2024-02-17 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published two weeks after his seventieth birthday, Ada, or Ardor is one of Nabokov's greatest masterpieces, the glorious culmination of his career as a novelist. It tells a love story troubled by incest. But more: it is also at once a fairy tale, epic, philosophical treatise on the nature of time, parody of the history of the novel, and erotic catalogue. Ada, or Ardor is no less than the superb work of an imagination at white heat. This is the first American edition to include the extensive and ingeniously sardonic appendix by the author, written under the anagrammatic pseudonym Vivian Darkbloom.
Book Synopsis Counting on Katherine: How Katherine Johnson Saved Apollo 13 by : Helaine Becker
Download or read book Counting on Katherine: How Katherine Johnson Saved Apollo 13 written by Helaine Becker and published by Henry Holt Books For Young Readers. This book was released on 2018-06-19 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how Katherine Johnson saved Apollo 13.
Book Synopsis Ada Lovelace Cracks the Code by : Rebel Girls
Download or read book Ada Lovelace Cracks the Code written by Rebel Girls and published by Rebel Girls. This book was released on 2019-11-12 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the world of Good Night Stories for Rebel Girls comes a story based on the exciting real-life adventures of Ada Lovelace, one of the world’s first computer programmers. Growing up in nineteenth century London, England, Ada is curious about absolutely everything. She is obsessed with machines and with creatures that fly. She even designs her own flying laboratory! According to her mother, Ada is a bit too wild, so she encourages Ada to study math. At first Ada thinks: Bleh! Who can get excited about a subject without pictures? But she soon falls in love with it. One day she encounters a mysterious machine, and from that moment forward Ada imagines a future full of possibility—one that will eventually inspire the digital age nearly two hundred years later. Ada Lovelace Cracks the Code is the story of a pioneer in the computer sciences, and a testament to women’s invaluable contributions to STEM throughout history. This historical fiction chapter book also includes additional text on Ada Lovelace’s lasting legacy, as well as educational activities designed to teach simple coding and mathematical concepts. About the Rebel Girls Chapter Book Series Meet extraordinary real-life heroines in the Good Night Stories for Rebel Girls chapter book series! Introducing stories based on the lives and times of extraordinary women in global history, each stunningly designed chapter book features beautiful illustrations from a female artist as well as bonus activities in the backmatter to encourage kids to explore the various fields in which each of these women thrived. The perfect gift to inspire any young reader!
Book Synopsis Ada Twist, Scientist by : Andrea Beaty
Download or read book Ada Twist, Scientist written by Andrea Beaty and published by Abrams. This book was released on 2016-09-06 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by mathematician Ada Lovelace and physicist Marie Curie, this #1 bestseller from author Andrea Beaty and illustrator David Roberts champions STEM, girl power, and women scientists in a rollicking celebration of curiosity, the power of perseverance, and the importance of asking “Why?” Now a Netflix series! #1 New York Times Bestseller A Wall Street Journal Bestseller A USA Today Bestseller Ada Twist’s head is full of questions. Like her classmates Iggy and Rosie (stars of their own New York Times bestselling picture books Iggy Peck, Architect and Rosie Revere, Engineer), Ada has always been endlessly curious. Even when her fact-finding missions and elaborate scientific experiments don’t go as planned, Ada learns the value of thinking through problems and continuing to stay curious. Ada is an inquisitive second grader who was born to be a scientist. She possesses an unusual desire to question everything she encounters: a tick-tocking clock, a pointy-stemmed rose, the hairs in her dad’s nose, and so much more. Ada’s parents and her teacher, Miss Greer, have their hands full as the Ada’s science experiments wreak day-to-day havoc. On the first day of spring, Ada notices an unpleasant odor. She sets out to discover what might have caused it. Ada uses the scientific method in developing hypotheses in her smelly pursuit. The little girl demonstrates trial and error, while appreciating her family’s full support. In one experiment, she douses fragrances on her cat and attempts to place the frightened feline in the washing machine. For any parent who wants STEM (Science, Technology, Engineering, and Math) to be fun, this book is a source of inspiration that will get children excited about science, school, learning, and the value of asking “Why?” Check out all the books in the Questioneers Series: The Questioneers Picture Book Series: Iggy Peck, Architect | Rosie Revere, Engineer | Ada Twist, Scientist | Sofia Valdez, Future Prez | Aaron Slater, Illustrator | Lila Greer, Teacher of the Year The Questioneers Chapter Book Series: Rosie Revere and the Raucous Riveters | Ada Twist and the Perilous Pants | Iggy Peck and the Mysterious Mansion | Sofia Valdez and the Vanishing Vote | Ada Twist and the Disappearing Dogs | Aaron Slater and the Sneaky Snake Questioneers: The Why Files Series: Exploring Flight! | All About Plants! | The Science of Baking | Bug Bonanza! | Rockin’ Robots! Questioneers: Ada Twist, Scientist Series: Ghost Busted | Show Me the Bunny | Ada Twist, Scientist: Brainstorm Book | 5-Minute Ada Twist, Scientist Stories The Questioneers Big Project Book Series: Iggy Peck’s Big Project Book for Amazing Architects | Rosie Revere’s Big Project Book for Bold Engineers | Ada Twist’s Big Project Book for Stellar Scientists | Sofia Valdez’s Big Project Book for Awesome Activists | Aaron Slater’s Big Project Book for Astonishing Artists
Book Synopsis SIX BOOKS IN ONE: Classification, Prediction, and Sentiment Analysis Using Machine Learning and Deep Learning with Python GUI by : Vivian Siahaan
Download or read book SIX BOOKS IN ONE: Classification, Prediction, and Sentiment Analysis Using Machine Learning and Deep Learning with Python GUI written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2022-04-11 with total page 1165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book 1: BANK LOAN STATUS CLASSIFICATION AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI The dataset used in this project consists of more than 100,000 customers mentioning their loan status, current loan amount, monthly debt, etc. There are 19 features in the dataset. The dataset attributes are as follows: Loan ID, Customer ID, Loan Status, Current Loan Amount, Term, Credit Score, Annual Income, Years in current job, Home Ownership, Purpose, Monthly Debt, Years of Credit History, Months since last delinquent, Number of Open Accounts, Number of Credit Problems, Current Credit Balance, Maximum Open Credit, Bankruptcies, and Tax Liens. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. Book 2: OPINION MINING AND PREDICTION USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI Opinion mining (sometimes known as sentiment analysis or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. This dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015. It contains sentences labelled with a positive or negative sentiment. Score is either 1 (for positive) or 0 (for negative). The sentences come from three different websites/fields: imdb.com, amazon.com, and yelp.com. For each website, there exist 500 positive and 500 negative sentences. Those were selected randomly for larger datasets of reviews. Amazon: contains reviews and scores for products sold on amazon.com in the cell phones and accessories category, and is part of the dataset collected by McAuley and Leskovec. Scores are on an integer scale from 1 to 5. Reviews considered with a score of 4 and 5 to be positive, and scores of 1 and 2 to be negative. The data is randomly partitioned into two halves of 50%, one for training and one for testing, with 35,000 documents in each set. IMDb: refers to the IMDb movie review sentiment dataset originally introduced by Maas et al. as a benchmark for sentiment analysis. This dataset contains a total of 100,000 movie reviews posted on imdb.com. There are 50,000 unlabeled reviews and the remaining 50,000 are divided into a set of 25,000 reviews for training and 25,000 reviews for testing. Each of the labeled reviews has a binary sentiment label, either positive or negative. Yelp: refers to the dataset from the Yelp dataset challenge from which we extracted the restaurant reviews. Scores are on an integer scale from 1 to 5. Reviews considered with scores 4 and 5 to be positive, and 1 and 2 to be negative. The data is randomly generated a 50-50 training and testing split, which led to approximately 300,000 documents for each set. Sentences: for each of the datasets above, labels are extracted and manually 1000 sentences are manually labeled from the test set, with 50% positive sentiment and 50% negative sentiment. These sentences are only used to evaluate our instance-level classifier for each dataset3. They are not used for model training, to maintain consistency with our overall goal of learning at a group level and predicting at the instance level. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. Book 3: EMOTION PREDICTION FROM TEXT USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI In the dataset used in this project, there are two columns, Text and Emotion. Quite self-explanatory. The Emotion column has various categories ranging from happiness to sadness to love and fear. You will build and implement machine learning and deep learning models which can identify what words denote what emotion. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. Book 4: HATE SPEECH DETECTION AND SENTIMENT ANALYSIS USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI The objective of this task is to detect hate speech in tweets. For the sake of simplicity, a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets. Formally, given a training sample of tweets and labels, where label '1' denotes the tweet is racist/sexist and label '0' denotes the tweet is not racist/sexist, the objective is to predict the labels on the test dataset. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, LSTM, and CNN. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. Book 5: TRAVEL REVIEW RATING CLASSIFICATION AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI The dataset used in this project has been sourced from the Machine Learning Repository of University of California, Irvine (UC Irvine): Travel Review Ratings Data Set. This dataset is populated by capturing user ratings from Google reviews. Reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated. The attributes in the dataset are as follows: Attribute 1 : Unique user id; Attribute 2 : Average ratings on churches; Attribute 3 : Average ratings on resorts; Attribute 4 : Average ratings on beaches; Attribute 5 : Average ratings on parks; Attribute 6 : Average ratings on theatres; Attribute 7 : Average ratings on museums; Attribute 8 : Average ratings on malls; Attribute 9 : Average ratings on zoo; Attribute 10 : Average ratings on restaurants; Attribute 11 : Average ratings on pubs/bars; Attribute 12 : Average ratings on local services; Attribute 13 : Average ratings on burger/pizza shops; Attribute 14 : Average ratings on hotels/other lodgings; Attribute 15 : Average ratings on juice bars; Attribute 16 : Average ratings on art galleries; Attribute 17 : Average ratings on dance clubs; Attribute 18 : Average ratings on swimming pools; Attribute 19 : Average ratings on gyms; Attribute 20 : Average ratings on bakeries; Attribute 21 : Average ratings on beauty & spas; Attribute 22 : Average ratings on cafes; Attribute 23 : Average ratings on view points; Attribute 24 : Average ratings on monuments; and Attribute 25 : Average ratings on gardens. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, and MLP classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. Book 6: ONLINE RETAIL CLUSTERING AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI The dataset used in this project is a transnational dataset which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers. You will be using the online retail transnational dataset to build a RFM clustering and choose the best set of customers which the company should target. In this project, you will perform Cohort analysis and RFM analysis. You will also perform clustering using K-Means to get 5 clusters. The machine learning models used in this project to predict clusters as target variable are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, LGBM, Gradient Boosting, XGB, and MLP. Finally, you will plot boundary decision, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, learning curve, performance of the model, scalability of the model, training loss, and training accuracy.
Book Synopsis Diabetes & Carb Counting For Dummies by : Sherri Shafer
Download or read book Diabetes & Carb Counting For Dummies written by Sherri Shafer and published by John Wiley & Sons. This book was released on 2024-07-11 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Count on this book to help you count carbs and live a healthy lifestyle with diabetes The person with diabetes is at the center of their own care. They make the day-to-day decisions about what to eat, when to exercise, and how to use the data they get from blood glucose monitoring devices. In order to be successful, it is critically important to make those decisions based on sound advice from their healthcare team, diabetes experts, and reputable resources. Carbs and glucose levels go hand in hand when managing all forms of diabetes. Diabetes & Carb Counting For Dummies teaches you all about carbs and overall healthy nutrition so that you can make informed decisions about what to eat and how much. Get up-to-date guidance to improve your health and live the life you want. This updated edition covers the latest dietary guidelines and standards, so you'll be on track with the best that science has to offer in diabetes management. You'll also get tips on exercise, interpreting blood glucose and A1C results, and continuous glucose monitoring (CGM) technology. Living your best carb-counting life starts with this Dummies guide. Demystify the connection between carbs, blood glucose levels, insulin, and exercise Find easy-to-follow instructions on how to read labels, portion your plate, and count carbs while still enjoying your favorite foods and traditions Exercise safely while learning how to prevent and treat hypoglycemia Get the latest information on fiber, sweeteners, gluten, and alcohol Explore sample meal plans in carb controlled ranges Learn about new technologies, research findings, and resources to help you manage diabetes more effectively Discover dietary strategies, lifestyle adjustments, and tips for controlling carb consumption without limiting your enjoyment of life Whether newly diagnosed or someone who has been living with diabetes for many years, this book is an essential guide for people with type 1 diabetes, type 2 diabetes, prediabetes, or gestational diabetes, as well as their loved ones. This is an accessible resource to help empower you with the tools you need to count carbs and plan meals that support diabetes management, weight control, and heart health.
Book Synopsis HATE SPEECH DETECTION AND SENTIMENT ANALYSIS USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI by : Vivian Siahaan
Download or read book HATE SPEECH DETECTION AND SENTIMENT ANALYSIS USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-08-04 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this project is to develop a comprehensive Hate Speech Detection and Sentiment Analysis system using both Machine Learning and Deep Learning techniques. The project aims to create a robust and accurate system that can automatically identify hate speech in text data and perform sentiment analysis to determine the emotions and opinions expressed in the text. The project is designed to address the growing concern over the spread of hate speech and offensive content online. By implementing an automated detection system, it can help social media platforms, content moderators, and online communities to proactively identify and remove harmful content, fostering a safer and more inclusive online environment. Additionally, sentiment analysis plays a crucial role in understanding public opinions, customer feedback, and social media trends. By accurately predicting sentiment, businesses can make data-driven decisions, improve customer satisfaction, and gain valuable insights into consumer preferences. This project focuses on Hate Speech Detection and Sentiment Analysis using both Machine Learning and Deep Learning techniques. It begins with exploring the dataset, analyzing feature distributions, and predicting sentiment using Machine Learning models like Logistic Regression, Support Vector Machines, K-Nearest Neighbors, Decision Trees, Random Forests, Gradient Boosting, Extreme Gradient Boosting, Light Gradient Boosting, and AdaBoost, while optimizing their performance through Grid Search for hyperparameter tuning. Subsequently, Deep Learning LSTM and 1D CNN models are implemented for sentiment analysis to capture long-term dependencies and local patterns in the text data. The project starts with exploring the dataset, understanding its structure, and analyzing the distribution of classes for hate speech and sentiment labels. This initial step allows us to gain insights into the dataset and potential challenges. After exploring the data, the distribution of text features, such as word frequency and sentiment scores, is analyzed to identify any patterns or biases that could impact the model's performance. The dataset is then divided into training, validation, and testing sets to evaluate the models' generalization capabilities. Early stopping techniques are utilized during training to prevent overfitting and enhance model generalization. Performance evaluation involves calculating metrics like accuracy, precision, recall, and F1-score to gauge the models' effectiveness. Confusion matrices and visualizations provide further insights into model predictions and potential areas for improvement. A graphical user interface (GUI) is developed using PyQt to facilitate user interaction with the Hate Speech Detection and Sentiment Analysis system. Before training the Deep Learning models, the text data is tokenized and padded for uniform input sequences. The dataset is split into training and validation sets for model evaluation, and early stopping is used to prevent overfitting during training. The final system combines predictions from both Machine Learning and Deep Learning models to provide robust sentiment analysis results. The PyQt GUI allows users to input text and receive real-time sentiment analysis predictions. The LSTM and 1D CNN models, along with their optimized hyperparameters, are saved and deployed for future sentiment analysis tasks. Users can interact with the GUI, analyze sentiment in different texts, and provide feedback for continuous improvement of the Hate Speech Detection and Sentiment Analysis system.
Book Synopsis Ada Lace, on the Case by : Emily Calandrelli
Download or read book Ada Lace, on the Case written by Emily Calandrelli and published by Simon and Schuster. This book was released on 2017-08-29 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Emily Calandrelli—host of Xploration Outer Space, correspondent on Bill Nye Saves the World, and graduate of MIT—comes the first novel in a brand-new chapter book series about an eight-year-old girl with a knack for science, math, and solving mysteries with technology. Ada Lace—third-grade scientist and inventor extraordinaire—has discovered something awful: her neighbor’s beloved Yorkie has been dognapped! With the assistance of a quirky neighbor named Nina (who is convinced an alien took the doggie) and her ever-growing collection of gadgets, Ada sets out to find the wrongdoer. As their investigation becomes more and more mysterious, Ada and Nina grow closer, proving that opposites do, in fact, attract.
Book Synopsis David Carter's 100 by : David Carter
Download or read book David Carter's 100 written by David Carter and published by Sterling Children's Books. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Young readers are given opportunities to count to ten in ten different environments, such as under the sea, in the garden, in the land of dinosaurs, at the beach, and in the classroom. Features lift-the-flap illustrations.
Book Synopsis Help Me Learn Addition by : Jean Marzollo
Download or read book Help Me Learn Addition written by Jean Marzollo and published by Help Me Learn. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bright photographs of puppets, marbles, chicks, dogs, and other fun objects, a rhyming text, and a fun game help children learn to add. A companion to Help Me Learn Numbers 0-2-.
Book Synopsis Pleasant pages (by S.P. Newcombe). [With suppl., entitled] Fireside facts from the Great exhibition by : Samuel Prout Newcombe
Download or read book Pleasant pages (by S.P. Newcombe). [With suppl., entitled] Fireside facts from the Great exhibition written by Samuel Prout Newcombe and published by . This book was released on 1851 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A New Kind of Science by : Stephen Wolfram
Download or read book A New Kind of Science written by Stephen Wolfram and published by . This book was released on 2002 with total page 1197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents a series of dramatic discoveries never before made public. Starting from a collection of simple computer experiments---illustrated in the book by striking computer graphics---Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe. Wolfram uses his approach to tackle a remarkable array of fundamental problems in science: from the origin of the Second Law of thermodynamics, to the development of complexity in biology, the computational limitations of mathematics, the possibility of a truly fundamental theory of physics, and the interplay between free will and determinism.
![Download Pleasant pages (by S.P. Newcombe). [With suppl., entitled] Fireside facts from the Great exhibition PDF Online Free](https://books.google.com/books/content/images/frontcover/zZwDAAAAQAAJ?fife=w200-h370)
