Machine Learning with Python: From Basics to Capstone (In-Person)

Features

12 Modules & 48 Lessons covering complete ML lifecycle 🐍 Python-based implementation using Pandas, NumPy, and Scikit-learn 📊 Hands-on labs with real datasets and Jupyter Notebooks 🎯 Supervised & Unsupervised Learning, Model Evaluation, Tuning 🧪 Weekly practical assignments + mini-projects 🧑‍💻 Capstone Project with group presentation and evaluation 🏫 In-person classroom teaching with personalized doubt sessions 📃 Certificate of Completion from Vista Academy 🚀 Prepares you for internships, data analyst, and ML beginner roles

Target audiences

College students in B.Tech, BCA, B.Sc (CS/IT), or MCA programs Beginners with basic Python knowledge interested in Data Science Final-year students seeking internships or job-ready ML skills Learners who prefer hands-on, in-person classroom learning Aspiring Data Scientists and Machine Learning Engineers Students preparing for careers in analytics, AI, or software roles

Requirements

Basic understanding of Python programming (variables, loops, functions) Familiarity with Jupyter Notebook or Google Colab Laptop with Python and Jupyter installed (or access to Google Colab) Internet access for dataset downloads and library installations Curiosity to learn and solve real-world problems using data

Curriculum

12 Sections
49 Lessons
10 Weeks

Expand all sectionsCollapse all sections

Module 1: Introduction to Machine Learning
Give students a clear foundation in what Machine Learning is, how it differs from related fields, and where it’s applied in real life.
6
Module 2: Python Essentials for ML
5
Module 3: Data Wrangling & Visualization, starting with:
5
Module 4: Data Preprocessing
5
Module 5: Regression Algorithms!
This module introduces the foundational concept of regression in machine learning — perfect for prediction tasks like house prices, salaries, etc.
5
Module 6: Classification Algorithms
5
Module 7: Decision Trees
6
Module 8: Model Evaluation & Tuning
5
Module 9: Unsupervised Learning
5
Module 10: Dimensionality Reduction
5
Module 11: Capstone Project Preparation
5
Module 12: Capstone Project Execution
5

Instructor

admin

69 Students

29 Courses

Yogesh Pandey is an experienced educator, data analytics trainer, and founder of Vista Academy in Dehradun. He holds a GNIIT certification from NIIT and an MBA from Sikkim Manipal University, bringing over 10 years of teaching experience in data analytics, accounting, and technology.

At Vista Academy, he trains students and professionals in Data Analytics, Python, Artificial Intelligence (AI), and Tally, with a focus on practical, job-ready skills. His teaching style simplifies complex concepts for learners—especially those from Hindi-speaking backgrounds.

Yogesh is also a passionate blogger and content creator. His blogs cover:

🧭 Uttarakhand Travel Guides – Explore offbeat destinations and cultural heritage
📊 Uttarakhand Dashboards & Reports – Visual data insights on education, development, and policy
🧠 AI & Scientific Discoveries – Breaking down the latest in AI, ML, and data science for beginners

With a vision to bridge the skill gap in India through digital literacy and data fluency, Yogesh continues to inspire and empower learners from all walks of life.

👉 Visit: TheVistaAcademy.com
📞 Contact: 9411778145
📍 Based in Dehradun, Uttarakhand, India

Free

Featured

Student:

1 Student

Lesson:

49 Lessons

Duration: 10 Weeks

Quiz:

13 Quizzes

Level: All levels

Featured Review

This in-person Machine Learning course is designed specifically for college students with basic Python knowledge. Learn the core concepts of supervised and unsupervised learning, work with real datasets, visualize data using Python libraries, and complete a final capstone project. Through 12 structured modules and 48 hands-on lessons, you’ll gain practical machine learning skills required for internships, analytics roles, and further AI studies.

✅ Key Highlights:

Python essentials for ML

Regression & classification models

Model tuning & evaluation

Real-world datasets

Final capstone project with presentation

🎓 Ideal for: Final-year students, CS/IT/ECE undergraduates, or anyone with beginner Python skills.

Machine Learning with Python: From Basics to Capstone

Features

Target audiences

Requirements

Curriculum

Instructor

Modal title