Machine learning is an important component of the growing field of Data Science. Through the use of statistical methods, algorithms are trained to make classifications or predictions and to uncover key insights in data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metric. As big data continues to expand and grow, the market demand for data scientists will increase.
Stay ahead in technology with this Industrial Specialised program Machine Learning in collaboration with IITs and partnered companies. Learn this exciting branch of Artificial Intelligence with a program featuring curated Learning, Live interactive Modules, 3- hands-on projects, and mentoring.It is is the foundation of many computing principles and careers. Achieve your career goals with our ML program, rated the highest by our student base
Research Scientist
Big Data Scientist
Machine learning engineer
Software Developer
Data Scientist
Computational Linguist
Product Manager
Python
Machine Learning
Types of Machine Learning
Different algorithms of Machine Learning
Real-world applications of Machine Learning
Deployments of algorithms using Python
Basics of Jupyter Notebook
Hands-on experience with Industry based 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.
Introduction to Python and variable
Features of Python
How to download and install Python
Python Variables
Introduction to Machine Learning
AI vs ML vs Deep Learning
Self driving car
Types of Machine Learning
Introduction to Supervised Machine Learning
Types of Supervised Machine Learning
KNN algorithm
Logic in the Algorithm
KNN Algorithm in Excel
Linear Regression
Neural network – Introduction and functioning
Functioning of Neural networks
Training Neural network
Bias and variance
Fitting in Machine Learning
Unsupervised Machine Learning
K-means clustering
Reinforcement learning
Predict Diabetes
Fraudulent Transaction
Predicting the survival chances in a accident
Second Hand Car Price Prediction
Music Genre Classification