Data Science Portfolio

1. Classification

• Classification-Decision-Trees.ipynb
• Classification-Logistic-Regression.ipynb
• Classification-SVM-cancer.ipynb

2. Clustering

• Clustering-K-Nearest-neighbors.ipynb
• Clustering-Hierarchical-Cars.ipynb
• Clustering-K-Means.ipynb

3. Data Wrangling

• Data-wrangling-using-Python.ipynb

4. Feature Selection & Exploratory Data Analysis

• Exploratory study on feature selection.ipynb
• Full_Exploratory-data-analysis.ipynb

5. Model Evaluation

• Model-Evaluation-and-refinement.ipynb

6. Plots_Charts

• Area-Plots-Histograms-and-Bar-Chart.ipynb
• Introduction-to-Matplotlib-and-Line.ipynb
• Plots-using-Matplotlib.ipynb
• Pie-Charts-Box-Plots-Scatter-Plots.ipynb
• WaffleCharts-WordClouds-and-Regres

7. Python

• Classes-In-Python.ipynb
• Functions-in-Python.ipynb
• Intro_API_and_RestAPI.ipynb
• Python-WriteFile.ipynb

8. Recommendation

• Collaborative-Filtering-movies.ipynb
• Recommendations-sys-content-based.ipynb

9. Regression

• Linear-Regression.ipynb
• Mulitple-Linear-Regression.ipynb
• Polynomial-Regression.ipynb
• Regression-NoneLinear.ipynb
• Regresssion-Simple_&_Multiple-Analysis.ipynb

10. Miscellaneous

• Speech-To-Text-Conversion.ipynb
• CropImage.ipynb
• Image Processing.ipynb
• Numpy-1D.ipynb