Ultimate Machine Learning Crash Course: Hands-On Python & Realtime Projects from Scratch

Learn Machine Learning, Python with Realtime Project Development (No Prior Knowledge is Required)

• Learn Python, Machine Learning, NLP with project development
• Hands-on ( We believe in Practical Knowledge)
• Master Development & Other Aspects of this demanding technology
• Build a Grasp on Machine Learning
• Develop a Personal Project
• 100% Practical Live Classes
• 1:1 Interaction
• Doubt Clearance
• Recordings will be available- in case you miss the sessions

DAY 1 – Basic Python:

• Introduction to Python
• Installation and Environment setup
• Python Basics (i/o operators, basic programs, conditional operators)

Day 2 – Basic Python:

• Python Iterative methods
• Python Data structures

Day 3 – Numpy:

• Numpy Library Implementation and Operations
• Introduction to Math Library

Day 4 – Pandas:

• Pandas Implementation and usage (Dataframes, Series)
• Data handling
• Exercises

Day 5 – Data Visualization:

• Introduction to Data Visualization
• Matplotlib, Seaborn Library methods, and operations
• Understanding the data dependency in datasets

Day 6 – Machine Learning Part 1:

• Introduction to Machine Learning
• Supervised and unsupervised learning
• Variables
• Supervised Learning: Regression (Linear Regression)

Day 7 – Project on Regression:

• Supervised Learning: Regression (Multi-Linear Regression)
• Capstone Project on Regression

Day 8 -Logistic Regression:

• Supervised Learning: Classification
• Logistic Regression

Day 9 – Vector:

• Support Vector
• K- Nearest Neighbors
• Metrics for Evaluation

DAY 10 – Project on Classification:

• Naïve Bayes Implementation
• Capstone Project on Classification

Day 11 – Techniques:

•  Decision Tree
• Random Forest
• Ensembling Techniques

Day 12 – Clustering:

• Clustering (KMeans)
• Introduction to Association Mining

Day 13 – Natural Language Processing Part 1:

• Market Basket Analysis Using Apriori
• Natural Language Processing Introduction

Day 14 – Natural Language Processing Part 2:

• NLP usage and implementation
• Capstone Project on NLP

Day 15 – Capstone Project on NLP:

• Capstone Project on NLP

About the Instructor:

Hi, I am B E Abhijith. I am a Competitive programmer and a  Microsoft Technology Associate in Python. I am Skilled in:

• Python Programming
• Robotic Process Automation (UIPath)
• C Programming (Basics)
• Machine Learning