About the Course
Comprehensive data science and machine learning program. Covers statistics, data wrangling with Pandas, data visualization, machine learning algorithms (regression, classification, clustering), deep learning with TensorFlow/Keras, NLP basics, and model deployment. Industry projects and certification on completion.
Course Syllabus
- 1Python for Data Science — Pandas, NumPy
- 2Statistics and probability fundamentals
- 3Data cleaning, wrangling, and EDA
- 4Data visualization — Matplotlib, Seaborn, Plotly
- 5Supervised ML — Linear Regression, SVM, Decision Trees
- 6Unsupervised ML — K-Means, DBSCAN, PCA
- 7Deep Learning — Neural Networks, CNN, RNN
- 8NLP — text preprocessing, sentiment analysis
- 9Model deployment with Flask and cloud
- 10Capstone industry project
Prerequisites
- Python basics
- Class XII mathematics