| File Name: | Python for Data Science – Zero to Pandas |
| Content Source: | https://www.udemy.com/course/python-for-data-science-and-classification-modeling |
| Genre / Category: | Programming |
| File Size : | 1.6 GB |
| Publisher: | Felicia Williams |
| Updated and Published: | October 3, 2025 |
This hands-on course guides students from the ground up—starting with Python programming fundamentals and building toward applied machine learning for classification tasks. Designed for beginners and aspiring data scientists, the course blends clarity, rigor, and real-world relevance to ensure students gain both technical skills and practical insight.
Students begin by mastering Python essentials, then transition into working with real datasets from the U.S. Census Bureau, performing exploratory data analysis (EDA), feature engineering, and statistical testing. From there, the course introduces core classification models—Logistic Regression, Random Forest, and XGBoost—alongside evaluation techniques like confusion matrices, ROC curves, and AUC scores.
Learners build scikit-learn pipelines to prevent data leakage, apply K-Fold cross-validation, and use GridSearchCV for hyperparameter tuning. The course wraps with model comparison, feature importance analysis, and pickling the best model for future use in production or further experimentation.
Along the way, students are introduced to tools like Visual Studio Code, and gain insight into when to use .py vs .ipynb files and how to choose the right platform for their workflow depending on their goals.
By the end of the course, students will be equipped to write clean Python code, build and evaluate classification models, and make data-driven decisions with confidence across a variety of data science contexts.
Who this course is for:
- This course is for beginners and aspiring data analysts who want to learn Python and use Pandas for real-world data analysis and machine learning.
DOWNLOAD LINK: Python for Data Science – Zero to Pandas
Python_for_Data_Science_Zero_to_Pandas.part1.rar – 1000.0 MB
Python_for_Data_Science_Zero_to_Pandas.part2.rar – 691.7 MB
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