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Certificate In MACHINE LEARNING WITH PYTHON(S-MLWP-3795)

Last updated Feb, 2026
Certified Course

₹8,000 ₹10,000

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Course Includes

Duration2 Months
Enrolled0
Lectures45
Videos0
Notes0
CertificateYes

What you'll learn

This course provides a strong foundation in machine learning using Python for learners with basic programming knowledge. Students will explore core concepts such as data preprocessing, statistics, supervised and unsupervised learning algorithms, model evaluation, and optimization using Python libraries like NumPy, Pandas, and Scikit-learn. By the end of the course, learners will build and evaluate machine learning models on real-world datasets and gain the skills needed for further study in machine learning, artificial intelligence, or data science.

Course Syllabus

Machine Learning with Python

Module 1: Introduction to Machine Learning

What is Machine Learning
Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
Machine learning problems and applications
Role of data in machine learning
Tools used in ML (Python, Scikit-learn, Google Colab)

Module 2: Python for Machine Learning

Python review for ML
NumPy for numerical operations
Pandas for data handling
Data visualization using Matplotlib

Module 3: Data Preprocessing

Understanding datasets
Data cleaning and handling missing values
Feature scaling and normalization
Splitting data into training and testing sets

Module 4: Statistics & Probability

Basics of statistics for ML
Mean, median, variance, standard deviation
Probability concepts
Normal and Gaussian distribution

Module 5: Supervised Learning

Linear regression
Logistic regression
k-Nearest Neighbors (k-NN)
Model training concepts

Module 6: Classification Algorithms

Naive Bayes algorithm
Decision trees
Support Vector Machines (SVM)
Classification performance metrics

Module 7: Unsupervised Learning

Clustering concepts
K-Means clustering
Hierarchical clustering
Dimensionality reduction basics

Module 8: Model Evaluation & Optimization

Overfitting and underfitting
Bias–variance tradeoff
Accuracy, precision, recall
Confusion matrix and model tuning

Module 9: Project

Machine learning project using real-world dataset
Data preprocessing, model building, and evaluation
Result analysis and presentation

Course Fees

₹10000/-

Discounted Fees

₹ 8000/-

Course Duration

2 Months

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