Today's Progress : I have practiced implementing Sentimental Analysis with Keras.
Link of Work: Commit
Today's Progress : Read Research Paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
Link of Work: Paper
Today's Progress : Learned and implemented Keras Functional API for defining complex models, such as multi-output models, directed acyclic graphs, and models with shared layers.
Link of Work: commit
Today's Progress : Experimented with 'Predict Pakistan Elections 2018' Kaggle kernel by Ammar Malik
Link of Work: commit
Today's Progress : Learned and practiced Data Wrangling, Data Visualization with Matplotlib and Seaborn, and basic maths and statistics on a CARS dataset.
Link of Work: commit
Today's Progress : Learned and practiced Dimensionality Reduction techniques and Outlier Analysis on IRIS dataset.
Link of Work: commit
Today's Progress : Learned and practiced K-Means Clustering, K-NN, Linear Regression, Logistic Regression, and Naive Bayes Classifier.
Link of Work: commit
Today's Progress : Learned and practiced Web-based Data visualization with Plotly.
Link of Work: commit
Today's Progress : Learned and practiced BeautifulSoup for parsing HTML webpages.
Link of Work: commit
Today's Progress : Read articles from the "HBR Guide to Data Analytics Basics for Managers".
Link of Work: Book
Today's Progress : Took "Become a Data Scientist" course on Lynda.
Link of Work: Course
Today's Progress : Took "Data Science Foundations: Fundamentals" course on Lynda.
Link of Work: Course
Today's Progress : Completed "Data Science Foundations: Fundamentals" course on LinkedIn Learning.
Link of Work: Certificate
Today's Progress : Completed "Statistics Foundations 1" course on LinkedIn Learning.
Link of Work: Certificate
Today's Progress : Took "Data Mining" course on LinkedIn Learning and practiced Clustering, Classification and Outlier Detection.
Link of Work: Course
Today's Progress : Took "Data Visualization: Storytelling" course on LinkedIn Learning.
Link of Work: Course
Today's Progress : Took "Excel 2016: Managing and Analyzing Data" course on LinkedIn Learning.
Link of Work: Course
Today's Progress : Learned and practiced building a Recommendation System with Python Machine Learning.
Link of Work: Commit
Today's Progress : Experimented with Postgres | Installed PgAdmin 4 | exported data to CSVs for visualization.
Link of Work: Commit
Today's Progress : Took "The Essential Elements of Predictive Analytics and Data Mining" course on LinkedIn Learning.
Link of Work: Course
Today's Progress : Took "Machine Learning & AI Foundations: Value Estimations" course on LinkedIn Learning.
Link of Work: Course
Today's Progress : Took "building-deep-learning-applications" course on LinkedIn Learning.
Link of Work: Course
Today's Progress : Learned and practiced building a Deep Neural Network with Keras.
Link of Work: Commit
Today's Progress : Learned Building and Deploying Deep Learning Applications with TensorFlow.
Link of Work: Commit
Today's Progress : Took "Amazon Web Services Machine Learning Essential Training" course on Linkedin Learning.
Link of Work: Course
Today's Progress : Practiced with "Titanic: Machine Learning from Disaster" kernel on Kaggle.
Link of Work: Commit
Today's Progress : Explored "House Prices: Advanced Regression Techniques" competition on Kaggle.
Link of Work: Kaggle
Today's Progress : Explored "Predict Pakistan Elections" competition on Kaggle and applied data wrangling.
Link of Work: Kaggle
Today's Progress : Explored "Predict Pakistan Elections" competition on Kaggle and applied data wrangling. (Continued)
Link of Work: Kaggle
Today's Progress : Exploring "Predict Pakistan Elections 2018" competition on Kaggle and applied data wrangling. (Continued)
Link of Work: Kaggle
Today's Progress : Exploring "Predict Pakistan Elections 2018" competition on Kaggle and applied data wrangling. (Continued)
Link of Work: Kaggle
Today's Progress : Practiced Object Detection with TensorFlow Single-Shot Detection (SSD) model.
Link of Work: TensorFlow
Today's Progress : Reading "Hands-on machine learning with Scikit-learn and Tensorflow".
Link of Work: Book
Today's Progress : Practiced Text Analysis on friend's whatsApp conversation - found most used words, emojis etc.
Link of Work: Link
Today's Progress : Enrolled in "Applied Data Science with Python" Specialization on Coursera.
Link of Work: Link
Today's Progress : Took first course in the specialization "Introduction to Data Science with Python" on Coursera.
Link of Work: Course
Today's Progress : Took second course in the specialization i.e "Applied Text Mining in Python" on Coursera.
Link of Work: Course
Today's Progress : Continued working on WhatsApp Spy mini-project - Monitored some contacts and generated usage charts.
Link of Work: Link
Today's Progress : Practiced text mining, regular expressions, and regex in pandas.
Link of Work: Link
Today's Progress : Watched "Making sense of too much data" TED talk Series. (Continued)
Link of Work: TEDtalks
Today's Progress : Practiced text mining with NLTK, PorterStemmer, CFGs and Sentimental Analysis.
Link of Work: Course
Today's Progress : Practiced text mining with NLTK, Naive Bayes, Support Vector Machines and Sentiment-analysis.
Link of Work: Course
Today's Progress : Prepared slides and scikit-learn practice notebooks for my upcoming MachineLearning session.
Today's Progress : Practiced Plotting, Charting & Data Representation with MatPlotLib and Seaborn in Python.
Link of Work: Course
Today's Progress : Practiced Plotting, Charting & Data Representation with MatPlotLib and Seaborn in Python. (Continued)
Link of Work: Course
Today's Progress : Started "Machine Learning" course by Sebastian Thrun and Katie Malone on Udacity.
Link of Work: Course
Today's Progress : Studied Naive Bayes, Support Vector Machine and Decision trees - learned parameter tuning.
Link of Work: Course
Today's Progress : Today, I learned and applied K-Nearest Neighbors, Random Forest, and AdaBoost to Anron-Email #Dataset. Udacity’s Intro to Machine Learning is a really interactive course - I recommend this course even if you aren't a beginner. It refreshes the machine learning basics. It’s enriched with quick quizzes that require an input from learner every few minutes to make sure he/she has assimilated the whole concept. It helps the learner to audit him/herself and go back if needed. I’ve added the course link below.
Link of Work: Course
Today's Progress : Explored Enron Dataset with Udacity's Datasets and Questions Module | Pandas | Numpy
Link of Work: Course
Today's Progress : Applied Outlier Detection and practiced removing outliers from the dataset.
Link of Work: Course
Today's Progress : Practiced Clustering, Feature Selection, Text Learning and Feature Selection.
Link of Work: Course
Today's Progress : Practiced PCA, Autoencoders and Evaluation Metrics with Udacity.
Link of Work: Course
Today's Progress : Practiced CNN, RNN - LSTM using TensorFlow with Udacity's Deep Learning.
Link of Work: Course
--------------Started working on Kaggle Deep Learning Competition--------------
Today's Progress : 1) Joined the "Digit Recognizer" competition on Kaggle 2) Learned and applied RNN - LSTM.
Link of Work: Competition
Today's Progress : Achieved 99.142% accuracy on Digit Recognizer and got ranked in TOP 35% of the 2234 competitors.
Link of Work: Competition
Today's Progress : Joined the "House Prices: Advanced Regression Techniques" competition on Kaggle.
Link of Work: Competition
Today's Progress : Working on the "House Prices: Advanced Regression Techniques" competition on Kaggle. (Continued)
Link of Work: Competition
Today's Progress : Explored Image Annotation Tools - LabelImg, VATIC, CVAT.
Link of Work: Tool
Today's Progress : Worked on Recurrent Neural Network - LSTM with Keras | Deep Learning with Keras by François Chollet.
Link of Work: Book
Today's Progress : Worked on pre-trained CovNets including VGG , ResNet, Inception with Keras.
Link of Work: Book
Today's Progress : Trained an object detection model with TensorFlow OD API | RFCN Architecture.
Link of Work: TF Home
Today's Progress : Reading "Natural Language Processing with Python" by Edward Loper, Ewan Klein, and Steven Bird.
Link of Work: Book
Today's Progress : Explored Spark & Hadoop, Resilient Distributed Dataset (RDD), Spark configuration, monitoring and tuning.
Link of Work: Course
Today's Progress : Practicing with "House Prices: Advanced Regression Techniques" on Kaggle.
Link of Work: Kaggle
Today's Progress : Practicing with "House Prices: Advanced Regression Techniques" on Kaggle. (Continued)
Link of Work: Kaggle
Today's Progress : Explored Spark & Hadoop, Resilient Distributed Dataset (RDD), Spark configuration, monitoring and tuning.
Link of Work: Course
Today's Progress : Started working on "Movie Review Sentiment Analysis" competition on Kaggle.
Link of Work: Competition
Today's Progress : Explored Spark & Hadoop, Resilient Distributed Dataset (RDD), Spark configuration, monitoring and tuning.
Link of Work: Course
Today's Progress : Learning and experimenting with Reinforcement Learning.
Link of Work: Introduction
Today's Progress : Experimenting with Generative Adverserial Network | Neural Style Transfer with Keras.
Link of Work: GAN
Today's Progress : Experimenting with Generative Adverserial Network | Neural Style Transfer with Keras (Continued).
Link of Work: GAN
Today's Progress : Reading "Natural Language Processing with Python" by Edward Loper, Ewan Klein, and Steven Bird.
Link of Work: Book
Today's Progress : Reading "Natural Language Processing with Python" by Edward Loper, Ewan Klein, and Steven Bird.
Link of Work: Book
Today's Progress : Worked on Object Detection ResNet with TensorFlow and Keras.
Link of Work: TF Home
Today's Progress : Worked on Object Detection ResNet with TensorFlow and Keras. (Continued)
Link of Work: TF Home
Today's Progress : Worked on NLTK Text Classification with "Natural Language Processing with Python".
Link of Work: Book
Today's Progress : Started "Fundamentals of Scalable Data Science" course one of IBM Data Science Specialization.
Link of Work: Specialization
Today's Progress : Started "Fundamentals of Scalable Data Science" course one of IBM Data Science Specialization (Continued).
Link of Work: Specialization
Today's Progress : Started "Fundamentals of Scalable Data Science" course one of IBM Data Science Specialization (Continued).
Link of Work: Specialization
Today's Progress : Prepared presentation and hands-on coding example for the upcoming ML session.
Today's Progress : Studying "Feature Engineering for Machine Learning" by Alice Zheng and Amanda Casari.
Link of Work: Book
Today's Progress : Studying "Feature Engineering for Machine Learning" by Alice Zheng and Amanda Casari.
Link of Work: Book
Today's Progress : Studying "Feature Engineering for Machine Learning" by Alice Zheng and Amanda Casari.
Link of Work: Book
Today's Progress : Worked on TensorFlow Object Detection and Keras for a pet project.
Today's Progress : Worked on TensorFlow Object Detection and Keras for a pet project. (Continued)
Today's Progress : Watching 13 videos TED talks playlist "Making sense of too much data".
Link of Work: Playlist
Today's Progress : Watching 13 videos TED talks playlist "Making sense of too much data". (Continued)
Link of Work: Playlist
Today's Progress : Finished watching 13 videos TED talks playlist "Making sense of too much data".
Link of Work: Playlist
Today's Progress : Reading "Deep learning with text and sequences" Deep learning by François Chollet
Link of Work: Book
Today's Progress : Started "Advanced Machine Learning and Signal Processing" course on Coursera.
Link of Work: Course
Today's Progress : Week 2 | "Advanced Machine Learning and Signal Processing" course on Coursera.
Link of Work: Course
Today's Progress : Week 3 | "Advanced Machine Learning and Signal Processing" course on Coursera.
Link of Work: Course
Today's Progress : Week 4 | "Advanced Machine Learning and Signal Processing" course on Coursera.
Link of Work: Course
Today's Progress : Started "Applied AI with DeepLearning" course on Coursera.
Link of Work: Course
Today's Progress : Week 1 | "Applied AI with DeepLearning" course on Coursera.
Link of Work: Course
Today's Progress : Week 2 | "Applied AI with DeepLearning" course on Coursera.
Link of Work: Course
Today's Progress : Week 2 | "Applied AI with DeepLearning" course on Coursera. (Continued)
Link of Work: Course
Today's Progress : Week 3 | "Applied AI with DeepLearning" course on Coursera.
Link of Work: Course
Today's Progress : Week 4 | "Applied AI with DeepLearning" course on Coursera.
Link of Work: Course
Today's Progress : Week 4 | "Applied AI with DeepLearning" course on Coursera.
Link of Work: Course