Machine Learning with Python

Build algorithms that learn from data. From linear regression to neural network basics — a practitioner-first ML course covering every technique that appears in data science job descriptions.

⏱ 3 Months 🖥 Online & Offline 🎓 Certificate Included 💼 100% Placement Assistance

Get Details on WhatsApp

What you'll master

Supervised Learning — Regression & Classification

Unsupervised Learning — Clustering & PCA

Model Evaluation — Cross-Validation, ROC, AUC

Scikit-Learn — End-to-End ML Pipelines

Feature Engineering & Selection

3 Industry ML Projects

Tools & Technologies

The ML Stack You'll Work With

Hands-on practice with the libraries and frameworks that appear in every data science and ML job description.

🐍

Python

📐

Scikit-Learn

🚀

XGBoost

🧮

TensorFlow (Intro)

📊

Matplotlib

Is This Course For You?

Who Should Enroll

This course is built for those with a Python foundation who are ready to move into machine learning.

📊

Python Analysts

Already comfortable with Pandas/EDA and ready for the next level.

🎓

Data Science Aspirants

Want the algorithms background that makes a data scientist different from an analyst.

💻

Engineers & CS Grads

Strong programming foundations but no ML exposure yet.

🔄

Working Professionals

In analytics, finance, or product and want to add ML to your toolkit.

Career Outcomes

Roles Open to ML Graduates

Machine learning skills are in high demand — from startups to enterprise tech companies across India.

🤖 Machine Learning Engineer

₹8 – 18 LPA

Jio, PhonePe, Paytm, CRED, Razorpay, Google

🔬 Data Scientist

₹7 – 16 LPA

Fractal Analytics, Mu Sigma, Latent View, Tiger Analytics, WNS

📊 ML Analyst

₹6 – 12 LPA

TCS, Wipro, Infosys, Capgemini, IBM, Accenture

🧬 Research Analyst (AI)

₹8 – 20 LPA

Amazon, Flipkart, Myntra, Ola, Urban Company, Meesho

Common Questions

Machine Learning — FAQs

Do I need to know Python before this course?

Yes, basic Python is recommended. If you're starting fresh, consider our Python for Data Analytics module first, or join the combined Data Science with ML course.

Is this the same content as the Data Science with ML course?

The ML content is similar. The Data Science course is more comprehensive — it covers Python, Statistics, Excel, and SQL alongside ML. This focused module is for those who already have a Python/analytics foundation.

What ML libraries will I learn?

Primarily Scikit-Learn, with XGBoost, Matplotlib, Seaborn, Pandas, and NumPy. We introduce TensorFlow Keras for neural network basics.

Will I build projects I can add to my portfolio?

Yes — three capstone projects: customer churn prediction, house price regression, and customer segmentation. All use real datasets and are formatted for your GitHub/LinkedIn portfolio.

What salary can I expect after this course?

Entry-level ML/data science roles typically start at ₹6–8 LPA. With 1–2 years experience, ₹10–16 LPA is common. Salaries depend on company, city, and your Python foundation.