Welcome to DataInsights
All ML Project Posted in My GitHub
1.
2.
3.
Feature transformation - Label Encoding Vs One Hot Encoder
Classification model selection
Regression Models selection
4.
Automatidata - For New York City Taxi and Limousine Commission (TLC) - Multi Linear Regression model and Random Forest Classifier model
4 c.
4 b.
4 a.
3 lines of code PyCaret Regression - Best Model selection for the Automatidata_Preprocessed dataset
Automatidata - Hypothesis Testing
Automatidata - Exploratory Data Analysis
4 d.
4 e.
4 f.
3 lines of code PyCaret Binary Classification-Best Model selection for the Automatidata_Preprocessed dataset.ipynb
Automatidata - Fare Amount Estimater - Graphical User Interface - ML - Gradient Boosting Regression Model
Automatidata - Multi Linear Regression model and Random Forest Classifier model
6.
Salifort Motors - ML - Employee Retention-logistic Regresssion - Decision Tree Classifirer - Random Forest Classifier
Salifort Motors - Graphical User Interface
Providing data-driven suggestions for HR - Salifort Motors - ML - Employee Retention
6 b.
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6 a.
7.
Waze’s free navigation app - ML-Providing-data-driven-suggestions-for-Waze-User-Churn - - Random Forest Classifier and XGBoost model
Providing data-driven suggestions for Waze - Employee Retention
7 a.