Ultimate Machine Learning Crash Course: Hands-On Python & Realtime Projects from Scratch
Wishing to learn machine learning but don’t know where to start? Don’t worry, this course is a complete package of machine learning & NLP for you to learn all the concepts at your own pace. It’s perfect for students and working professionals who have mathematics as their background.
Prerequisite: No Prior Knowledge is Required, Learn everything 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
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Ultimate Machine Learning Crash Course: Hands-On Python & Realtime Projects from Scratch
₹199.00
Ayaan Mehta –
What if I missed the live class?
Edusera –
Live session recordings will be accessible to you, even if you miss any class.
Himanshi Gupta –
Will I be able to get a proper E-certificate?
Edusera –
Yes, you will get a proper training certificate – Machine Learning Certified
Akansha jain –
You will code with us, i mean is it a live practical training?
Edusera –
Yes, live coding on daily basis, everything is practical.
Rajnish tripathi –
Interested to learn again from edusera, you are my career saviors for sure. Requesting to launch something on cyber security as well
Rohini shah –
love love this…
Bhuvan Shankar Haribabu –
Sir whether in this training will you cover everything from zero to max in machine learning
Edusera –
Yes, from scratch everything
Nihar –
How many hours will the session go in a day
Edusera –
1 to 1:30 hour per day.
Sanalakshmi –
It good
Hamsashree c t –
Enthusiastic to learn this, very beautiful platform