ML handsOn
Completed by Turvi on September 5, 2025
Verified learner ·
Badge ID: -B2YlRyVSiydmJUclaoshQ
About this Badge
ML hands on
Learning objectives
- Build and evaluate logistic regression models using Python and NumPy for binary classification tasks.
- Implement gradient descent and cost function from scratch to deepen understanding of machine learning algorithms.
- Prepare and clean datasets for analysis and conduct exploratory data analysis using Python tools.
- Set up and utilize cloud-based environments like Google Colab and Rhyme for hands-on machine learning projects.
Skills learned
- Machine Learning Algorithms
- Exploratory Data Analysis
- Google Cloud Platform
- Predictive Modeling
- Supervised Learning
- Python Programming
- Data Mining
- Machine Learning
- Seaborn
- Data Cleansing
- Algorithms
- Jupyter
- Matplotlib
- NumPy
- Data Processing
- Data Science
- Data Visualization
- Data Analysis
- Scikit Learn (Machine Learning Library)
- Skills section collapsed. Showing 10 of 19 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.