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Machine Learning & Natural Language Processing A-Z™: Hands-On Python & Realtime Projects

Course Access: Lifetime
Course Overview

Learn Machine Learning, Python with Realtime Project Development

  • 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
We will be happy to hear your thoughts

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