Previous Lecture
Complete and continue
Data Science & Machine Learning Bootcamp with Python
Python for Scientific Computing & Data Analysis
Python Foundations: Data Structures, List Comprehensions & Functions
(18:42)
Numerical Operations with NumPy Arrays & Matrix Mathematics
(11:40)
Statistical Visualizations with Matplotlib and Seaborn
(17:52)
Data Wrangling & Feature Engineering with Pandas
Data Cleaning: Handling Missing Values, Outliers & Data Imputation
(11:25)
Grouping, Aggregations & Pivot Tables for Business Insights
(12:25)
Feature Engineering: Encoding Categoricals & Scaling Techniques
(22:52)
Supervised & Unsupervised Machine Learning
Linear & Logistic Regression: Model Training & Evaluation
(22:50)
Decision Trees, Random Forests & Gradient Boosting (XGBoost)
(08:57)
Unsupervised Learning: K-Means Clustering & Dimensionality Reduction (PCA)
(20:36)
Deep Learning & Production Model Serving
Introduction to Neural Networks & PyTorch Tensors
(11:30)
Hyperparameter Tuning, Cross-Validation & Model Serialization
(09:30)
Packaging Models into FastAPI Microservices for Production
(16:45)
Lecture
Hyperparameter Tuning, Cross-Validation & Model Serialization
Lecture content locked
If you're already enrolled,
you'll need to login.
Enroll in Course to Unlock
Log In
×
E-Mail Address
Password
Remember Me
Forgot Your Password?
Login
Don't have an account?
Sign up