This repository includes my self-practice Jupyter notebooks. I summarized these from the DataCamp projects and courses that I had completed.
The completed projects :
- A Visual History of Nobel Prize Winners
- ASL-Recognition-with-Deep-Learning
- Analyzing TV Data
- Book Recommendations from Charles Darwin
- Dr. Semmelweis and the Discovery of Handwashing
- Exploring the Bitcoin Cryptocurrency Market
- Extract Stock Sentiment from News Headlines
- Investigating Netflix Movies and Guest Stars in The Office
- Marketing Analytics Predicting Customer Churn in Python
- Predicting Credit Card Approvals
- Risk and Returns - the Sharpe Ratio
- The Android App Market on Google Play
- The GitHub History of the Scala Language
- Updating ...
The completed courses :
- Extreme Gradient Boosting with XGBoost
- Winning a Kaggle Competition in Python
- Supervised Learning with scikit-learn
- Introduction to NumPy
- Manipulating Time Series Data in Python
- Machine Learning for Time Series Data in Python
- ARIMA Models in Python
- Time Series Analysis in Python
- Introduction to Statistics in Python
- Introduction to Regression with statsmodels in Python
- Hypothesis Testing in Python
- Time Series Analysis in Python
- Updating ...
See my Data Science Notes Blog for more details.
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Thank you! (´･ω･｀)ゞ ｱﾘｶﾞﾄｳ ﾖﾛｼｸ♪.