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  1 - Introduction

   1 - What is Data Science.mp4

   2 - Describe Artificial Intelligence and Machine Learning and Deep Learning.mp4

   3 - Concept of Machine Learning.mp4

  10 - Project Customer Segmentation using Clustering

   58 - Customer Segmentation Part 1.mp4

   59 - Customer Segmentation Part 2 English.vtt

   60 - Customer segmentation 3 English.vtt

   61 - Customer Segmentation Part 4 English.vtt

  11 - Project Fake News Detection using machine learning Python

   62 - Fake News Detection using machine learning Python.mp4

  12 - Project COVID19 Coronavirus Infection Probability using machine learning

   63 - Project COVID19 Coronavirus Infection Probability using machine learning.mp4

  13 - Miscellaneous

   64 - Underfitting Overfitting and best fitting in Machine Learning.mp4

   65 - How to avoid Overfitting in Machine Learning.mp4

   66 - Applications of Artificial Intelligence.mp4

   67 - Teachable Machine.mp4

  14 - Python Crash Course

   68 - Python Basic Introduction.mp4

   69 - Getting Started with Python.mp4

   70 - Python Data TypesNumbers.mp4

   71 - Python Data TypesStrings.mp4

   72 - Python Data TypesLists.mp4

   73 - Python Data Types Dictionary.mp4

   74 - Python Data Types Sets.mp4

   75 - Python Loops.mp4

   76 - Decision Making.mp4

   77 - Control Statements.mp4

   78 - Python Functions.mp4

  2 - Installation and Colab

   4 - Google Colab Introduction.mp4

   5 - Anaconda Installation.mp4

   6 - Jupyter Notebook.mp4

  3 - Python for Data Analysis Numpy

   7 - Python for Data Analysis Numpy.mp4

   8 - linear algebra for data science.mp4

  4 - Python for Data Analysis Pandas

   10 - Pandas DataFrames.mp4

   11 - Grouping and Filtering.mp4

   12 - Slicing and Sorting.mp4

   13 - Pandas Missing Values.mp4

   14 - Pandas Aggregation Functions English.vtt

   14 - pandas-aggregate.ipynb

   9 - Pandas Series.mp4

  5 - Python for Data Visualization Matplotlib

   15 - Matplotlib Introduction.mp4

   16 - Matplotlib Bar Graphs.mp4

   17 - Matplotlib Histogram English.vtt

   18 - Matplotlib Scatter Plot English.vtt

   18 - matplotliob-scatterplot.ipynb

   19 - Matplotlib Area Plot.mp4

   20 - Matplotlib Pie Chart English.vtt

   20 - pie-chart.ipynb

   21 - Matplotlib Subplots.mp4

  6 - Supervised Machine Learning

   22 - What is Supervised Machine Learning and Linear Regression Algorithm.mp4

   23 - Implementation of Linear Regression.mp4

   23 - simple-linear-regression.ipynb

   24 - Plot Linear Regression.mp4

   25 - Implementation of Multi Linear Regression.mp4

   25 - multi-linear-regression.ipynb

   26 - Example 2 Multilinear Regression.mp4

   26 - multi-linear-regression-ex2.ipynb

   27 - Use Case Boston Housing Price Prediction.mp4

   28 - Save Model English.vtt

   28 - save-model.ipynb

   29 - how to implement Logistic Regression English.vtt

   29 - logistic-regression.ipynb

   30 - Logistic Regression on Iris Flower Dataset.mp4

   31 - Logistic Regression on Digits Dataset.mp4

   32 - Naive Bayes Classifier.mp4

   33 - Implementation of Naive Bayes classifier on Wine Dataset.mp4

   34 - Introduction to Naive Bayes Classifier for Text Classification English.vtt

   34 - classifier-basic.ipynb

   35 - Implementating Naive Bayes Classifier for Text Classification.mp4

   36 - Introduction to Decision Tree English.vtt

   37 - Implementation of Decision Tree English.vtt

   37 - decision-tree.ipynb

   38 - KNearest NeighborKNN Algorithm.mp4

   39 - Implementation of KNearest NeighborKNN Algorithm.mp4

   39 - knn-example.ipynb

   40 - Support Vector Machine Algorithm.mp4

   41 - Implementation of Support Vector Machine Algorithm.mp4

   42 - Random Forest Algorithm English.vtt

   43 - Implementation of Random Forest Algorithm English.vtt

   43 - random-forest.ipynb

  7 - UnSupervised Machine Learning

   44 - What is UnSupervised Machine Learning.mp4

   45 - Types of Unsupervised Learning.mp4

   46 - Advantages and Disadvantages of Unsupervised Learning.mp4

   47 - What is clustering.mp4

   48 - Kmeans Clustering.mp4

   49 - Implementing Kmeans Clustering.mp4

   50 - Image compression using Kmeans clustering Color Quantization using KMeans.mp4

  8 - Reinforcement Learning

   51 - Introduction to Reinforcement Learning.mp4

   52 - Qlearning algorithm in machine learning.mp4

  9 - Feature Engineering

   53 - What is Feature Engineering.mp4

   54 - What is Outlier.mp4

   54 - outlier-basic-IQR.ipynb

   55 - outlier detection and removal using std deviation.mp4

   56 - Z score English.vtt

   57 - IQR English.vtt