Hands-On Machine Learning: Python Project Showcase
Dive into practical Machine Learning with Python, featuring real-world projects and case studies for hands-on mastery
4.50 (5 reviews)
4,363
students
4.5 hours
content
Mar 2024
last update
$19.99
regular price
What you will learn
Understanding Machine Learning Case Studies: Learn the practical application of machine learning through real-world case studies.
Environment Setup for Machine Learning: Get hands-on experience in setting up the necessary environment for implementing machine learning algorithms
Linear Regression Techniques: Understand and implement linear regression models, starting with the problem statement and progressing to regressions.
Robust Regression and Logistic Regression: Explore robust regression techniques and delve into logistic regression for binary classification problems.
k-Means Clustering: Gain insights into unsupervised learning with k-Means clustering, including creating scattered plots and calculating Euclidean distances.
Time Series Modeling: Learn to model and analyze time series data, exploring applications like Bitcoin price prediction.
Classification Algorithms: Master various classification techniques, including logistic regression, decision trees, k-nearest neighbors, linear discriminant ana
Building Predictive Models: Understand the process of defining problem statements, preparing and cleaning data, and creating predictive models.
Feature Engineering: Gain proficiency in feature engineering techniques, transforming variables, and preparing data for machine learning models.
Visualization Techniques: Learn to visualize data using confusion matrices, AUC curves, SNS plots, and other visualization methods.
Application in Finance: Apply machine learning to financial scenarios, exploring payment delays, standing credit, defaulting, and other relevant financials
Throughout the course, participants will acquire practical skills and knowledge to tackle real-world machine learning challenges.
5758758
udemy ID
1/11/2024
course created date
1/15/2024
course indexed date
Bot
course submited by