Machine Learning (ML) enables systems to learn from data and make intelligent decisions without explicit programming. At CognivaRise, our Machine Learning program is designed to build strong foundations and practical skills required to solve real-world problems using data-driven models.
Boost your career with our Machine Learning program developed in collaboration with IITs and industry partners. The program includes exclusive learning modules, hands-on projects, and placement assistance to prepare you for high-demand roles. Learn core concepts such as Python, NumPy, Pandas, Supervised & Unsupervised Learning, Regression, Classification, and Model Evaluation through self-paced videos, guided modules, and real-world projects.
After completing this program, you can explore roles such as:
Machine Learning Engineer
Data Scientist
Data Analyst
AI / ML Developer
Business Intelligence Analyst
Research Assistant
Machine Learning professionals are in high demand across IT, finance, healthcare, e-commerce, and analytics-driven industries.
Python for Machine Learning
Data Preprocessing & Feature Engineering
Supervised & Unsupervised Learning
Regression & Classification Algorithms
Model Training & Evaluation
Introduction to Deep Learning
Real-world Machine Learning Projects
With a wide range of programs- Professional, Mentor-Led & Self Paced; CognivaRise aims to cater the students from various backgrounds with or without prior knowledge. Our industry mentors start from the basics to developing advanced capstone projects. We help students in developing their core competencies in their respective field of interest.
Module 1 Introduction to Python and variable
Module 2 Features of Python
Module 3 How to download and install Python
Module 4 Python Variables
Module 5 Introduction to Machine Learning
Module 6 AI vs ML vs Deep Learning
Module 7 Self driving car
Module 8 Types of Machine Learning
Module 9 Introduction to Supervised Machine Learning
Module 10 Types of Supervised Machine Learning
Module 11 KNN algorithm
Module 12 Logic in the Algorithm
Module 13 KNN Algorithm in Excel
Module 14 Linear Regression
Module 15 Neural network – Introduction and functioning
Module 16 Functioning of Neural networks
Module 17 Training Neural network
Module 18 Bias and variance
Module 19 Fitting in Machine Learning
Module 20 Unsupervised Machine Learning
Module 21 K-means clustering
Module 22 Reinforcement learning
Project 1 Predict Diabetes
Project 2 Fraudulent Transaction
Project 3 Predicting the survival chances in a accident
Project 4 Second Hand Car Price Prediction
Project 5 Music Genre Classification
6000 Per Course
10000 Per Course
15000 Per Course