Programming with Python
- Declaring, using variables, Data types.
- Input/Output, Type conversion.
- Conditional, Loop statements.
- List, Tuple, Set & Dictionary.
- Creating/Using Functions & Classes.
- Creating connections between databases.
Data Analysis in Python
- Importing & Reading your data
- Getting & Knowing your data.
- Filtering & Sorting of data.
- Grouping data.
- Working on Multi Index data.
- Joins, Comparisons.
- Getting statistics from your data.
- Exercise datasets for more practice.
- Demo & Quiz
Data Visualization in Python.
- Displaying data’s distribution.
- Plotting correlations or heat map.
- Saving figures for Storytelling.
- Exercise datasets for more practice.
- Demo & Quiz
Module4 Machine Learning & Forecasting Techniques using Python
- Performing classification techniques to find suitable classes of data for identifying the best values.
- Performing Regression techniques to find a suitable value.
- Ensemble Learning.
- Unsupervised Machine Learning
- Making the best recommendation system based on the previous user’s data. i. Collaborative Filtering.
- Performing Time Series forecasting in our data.
- Demo & Quiz
Deep Learning
- Computer Vision.
- TensorFlow & CNN.
- Natural Language Processing.
- Demo & Quiz
