I will share all the materials I use to teach in class in this repository
Day - 1: 21-03-2020 We Learnt about Different types of Analytics Different types of Machine Learning Why Python? Features of Python
Day - 2: 28-03-2020 We Started practising the python Ways to implement python Why Jupyter notebook? What is keyword, variable? Conditions on creating a identifier Different datastructure List, Tuple, Set, Dictionary, String Typecast
Day - 3: 29-03-2020 String manupulations and functions Control Statement Condition Statement What is Indendation? Functions Paraments, Defaut Parameters, Recursive functions
Day - 4: 04-04-2020 Class and Object OS Library Module in python import and from import Numpy: Why Numpy? Numpy Basics
Day - 5: 05-04-2020 Pandas Data Loading Data Manipulation Data Filtering Data Grouping
Day - 6: 18-04-2020 List Comprehension Zip Enumerate Lambda Map Filter Reduce
Day - 7: 19-04-2020 Advanced Pandas operations Like Converting column dtypes understanding each dtypes Append Merge and Concat Groupby pivot stack and Unstack
Day - 8: 25-04-2020 Python Quiz sessions
Day - 9: 26-04-2020 Understading data visualization using Seaborn