Pinned

1. Churn-Prediction Churn-Prediction Public

   Performed outlier correction using standard box plot method ,then attempted univariate analysis & birative analysis. Checked accuracy using Logic Regression, Decision tree & Random Forest.

   Jupyter Notebook 2

2. Flight-Price-Predection Flight-Price-Predection Public

   Performed feature selection using heatmap, feature-importance & select k-boost. Then fitted the data using random forest and did hyperparameter tuning.

   Jupyter Notebook 2

3. TED-Talk-Analysis TED-Talk-Analysis Public

   I've extracted 6 features for each TED Talk which you can find in this. It includes EDA, Data Analysis, Tabular Data and Python.

   Jupyter Notebook 1

4. Credit-card-fraud-analysis Credit-card-fraud-analysis Public

   Handled imbalanced dataset by using sampling method.

   Jupyter Notebook

5. Diabetes-Statistical-Analysis Diabetes-Statistical-Analysis Public

   Used Inferential Statistics, Normal Deviate Z Test & One Sample T-Test in this model.

   Jupyter Notebook 1

6. Spotify-Analysis Spotify-Analysis Public

   Jupyter Notebook