Program Description
● Understand the foundational principles and types of machine learning.
● Gain proficiency in handling various types of data and performing exploratory data analysis.
● Develop coding skills in Python, including the use of essential libraries for data manipulation and visualization.
● Implement linear regression models and grasp the underlying assumptions and optimization techniques.
● Explore dimensionality reduction methods to enhance model efficiency and interpretability.
● Master logistic regression for binary classification tasks and evaluate model performance effectively.
● Acquire knowledge and skills in decision tree algorithms, including pruning and hyperparameter tuning.
● Learn about ensemble learning techniques such as bagging and random forests for improving predictive accuracy.
● Understand unsupervised learning through clustering algorithms like K-means and their applications.
● Apply acquired knowledge and skills to real-world datasets, solving practical machine learning problems and evaluating model performance.
Key Highlights
Certification of completion from Internshala.
Government approved certificate from NSDC (National Skill Development Corporation) & Skill India.
Downloadable content with lifetime access.
24*7 doubt solving forum.
Free access to ‘Internship and Job Preparation’ training.
Hand picked internships & jobs curated as per your preference in your inbox every week.
Get highlighted on Internshala and a badge of achievement in your Internshala account if you score above 90% in your final test. This badge will be shown to the employers when you apply to internships and jobs.badge will be shown to the employers when you apply to internships and jobs.
Learning Format
Online
Duration
6 weeks
Certified by
IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras
and
Internshala
Program Fee
1349/- (Inclusive Tax)
Education Qualification
Students must have completed 12th grade.
Suggested Prerequisites
● Knowledge of English language.
● Internet connectivity.
● Desktop/Laptop with a minimum 1 GB RAM and Windows 8 or later (64 bit).
Teaching Hours
Self-paced (suggested 1 hr/day)
Lead Faculty
Kunal Jain & Pranav Dar
