Data Science Projects with Python
Issued by
New Horizons Computer Learning Centers
This course is designed to provide practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course helps learners understand how to use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs and extract the insights they seek to derive.
- Type Learning
- Level Intermediate
- Time Days
- Cost Paid
Skills
- Binary Classification
- Building Cloud-Native Applications
- Data
- Data Exploration and Cleaning
- Data Quality Assurance
- Data Science
- Data Science Projects with Python
- Data with Jupyter and Pandas
- Decision Trees and Random Forests
- Delivery to Client
- Details of Logistic Regression and Feature Exploration
- Financial Analysis
- Imputation of Missing Data
- Introduction to Scikit-Learn and Model Evaluation
- Logistic Regression
- Predictive Modeling
- Python
- Python (Programming Language)
- Scikit-learn
- The Bias-Variance Trade-off