DS-Live-Jun-20 Course Link - Data Science Master Course Session Names Topic Names Session 1 Python_Basics Session 2 Python_Basics- II Session 3 Advance_Python Session 4 Oops numpy Session 5 Pandas Lib & *Iris Session 6 Matplotlib & data visualization Session 7 MNIST & kNN Session 8 Face detection Session 9 Face recognition Session 10 Linear regression & Gradient Descent Session 11 Multivariate Linear Regression Session 12 Logistic Regression Session 13 - Session 14 NLTK , NLP Pipeline,BoW, TfIdf Normalisation Session 15 Naive bayes Session 16 Markov Chains Session 17 K-Means & Dominant Color Extraction Session 18 Decision Tree Session 19 Web scraping Session 20 BeautifulSoup & K-Fold Session 21 Neural_Networks I Session 22 Ensemble Session 23 Neural Networks II & Visualization Session 24 CNN & Image_Classification Session 25 Convolutional Neural Networks (CNN's) Session 26 Image Augmentation, Classification & CNN Implementation Session 27 Feature Extraction,Transfer_Learning, Pretrained Model Session 28 Baby Names Predictions Session 29 Word2Vec Basics & Emoji Prediction Session 30 PCA Session 31 EDA Session 32 GANs Session 33 Flask Session 34 Image Classification flask & Marks Prediction flask Session 35 Image Captioning , TSA, Time series, Stock Price Documentation Contributed by - Bhargav Joshi
