MAIN GOAL It is about exploring the world of data science and its concept. INDEX S.No. Description 1 Anscombe's quartet 2 Titanic dataset 3 Wine Basic Analyse 4 Bike Sharing basic Analyse 5 Bike Sharing Demand Prediction Using Regression Trees 6 Kaggle user Analyse 7 anime and move genre Analyse 8 Predict the onset of diabetes based on diagnostic measures 9 EDA of marijuana (cannabis) Drug 10 Boxplot 11 Scatter Plot 12 Probability (Uniform and Normal) Distribution Part-1 13 Probability (Bernoulli and Binomial Distribution) Distribution Part-2 14 Probability (Poisson and Beta Distribution) Distribution Part-3 15 Probability (Gamma,Log Normal and Negative Binomial Distribution) Distribution Part-4 16 Time Series Analysis P-1 17 Time Series Analysis P-2 18 Bayes' Theorem 19 Chi-squared test 20 natural language processing part-1 21 House Sales Prediction 22 Statistical Data Modeling 23 K-Means and Hierarchical Clustering 24 Basic Statistics 25 EDA avocados 26 Hierarchical Clustering 27 basic pandas and numpy 28 Visualize a Deep Learning Neural Network Model in Keras 29 Pandas Tips and Tricks 30 30 seconds of python 31 Dive into Deep Learning 32 PyTorch Tutorial for Deep Learning Researchers 33 Fastai Course 34 d2l-pytorch
