From Python to Predictions: Build ML Models Step by Step

“Learn to build regression, classification, clustering, ANN, CNN, and RNN models step by step, even as a beginner.”

What you'll learn
- Understand Python basics for data science (variables, functions, NumPy, Pandas, visualization).
- Create Deep Learning models: ANN, CNN, and RNN from scratch with Keras/TensorFlow.
- Apply ML to real-world datasets (stock prediction, loan approval, crypto clustering, sentiment analysis).
- Evaluate models using accuracy, confusion matrix, RMSE, and visualize results.

Requirements
- No prior ML experience required.
- Basic Python knowledge is helpful but not mandatory.
- Curiosity to learn and explore machine learning.

Description
From Python to Prediction: Build Machine Learning Models Step by Step

Have you ever wanted to learn Machine Learning but felt overwhelmed by too much math, confusing jargon, or endless theory? You’re not alone — and that’s exactly why I created this course.

InFrom Python to Prediction, we take apractical, hands-on approachto Machine Learning. Instead of drowning in formulas, you’ll actually build models step by step in Python and understand what’s happening as we go. My teaching style is simple: think of this course aslearning with a friend, not a professor. Every concept is explained in plain language, every keyword is broken down, and every step is backed up with code you can run.

We’ll begin withPython basics for Machine Learning, including variables, functions, NumPy, Pandas, and data visualization. Then we’ll move into building core models likeRegression, Classification, and Clustering. Once you’re comfortable, we’ll dive intoDeep Learning, where you’ll learnArtificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs)using Keras and TensorFlow.

But this isn’t just theory. You’ll apply everything toreal-world projects: stock price prediction, loan approval classification, crypto clustering, car purchase predictions, image recognition, and even sentiment analysis on movie reviews.

By the end of this course, you’ll not only understand Machine Learning but also have aportfolio of projectsto showcase in interviews, internships, or personal work.

So if you’re ready to start your journey into Machine Learning — let’s gofrom Python to Prediction.

Who this course is for:
- Beginners who want to start their journey in Machine Learning.
- Python learners curious about AI and ML applications.
- Students preparing for projects or internships in data science.
- Professionals who want a practical introduction to ML with hands-on coding.
More Info