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This repo features Kaggle notebooks with data science projects, including EDA, predictive analytics, and competition entries. It highlights practical applications of ML techniques and showcases continuous skill development in data science.

www.kaggle.com/sayande01
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Age_pred.csv
Age_pred.csv
 
 
Bike.xlsx
Bike.xlsx
 
 
Car_Data_Analytics.ipynb
Car_Data_Analytics.ipynb
 
 
Data Mining - Notebook 1 - CART - With onehot.ipynb
Data Mining - Notebook 1 - CART - With onehot.ipynb
 
 
EDA_Group_Assignment_v1.ipynb
EDA_Group_Assignment_v1.ipynb
 
 
Ecommerce Customers.csv
Ecommerce Customers.csv
 
 
Employee.csv
Employee.csv
 
 
Employee_Churn_Pred_using_RandomForest (1).ipynb
Employee_Churn_Pred_using_RandomForest (1).ipynb
 
 
Health_Sleep_Statistics.csv
Health_Sleep_Statistics.csv
 
 
Hotel_Cancellation_Prediction.ipynb
Hotel_Cancellation_Prediction.ipynb
 
 
README.md
README.md
 
 
Rainfall_Prediction.ipynb
Rainfall_Prediction.ipynb
 
 
StudentPerformanceFactors.csv
StudentPerformanceFactors.csv
 
 
Student_Admission_Prediction_using_Logistic_Regression.ipynb
Student_Admission_Prediction_using_Logistic_Regression.ipynb
 
 
Student_Performance (1).csv
Student_Performance (1).csv
 
 
Telecomm_Churn_Prediction.ipynb
Telecomm_Churn_Prediction.ipynb
 
 
abroad - Sheet1.csv
abroad - Sheet1.csv
 
 
ad-click-prediction.ipynb
ad-click-prediction.ipynb
 
 
ad_click_dataset.csv
ad_click_dataset.csv
 
 
admit.xlsx
admit.xlsx
 
 
age-prediction-linear-regression-eda.ipynb
age-prediction-linear-regression-eda.ipynb
 
 
apple-stock-price-prediction.ipynb
apple-stock-price-prediction.ipynb
 
 
bike-owners-eda-prediction.ipynb
bike-owners-eda-prediction.ipynb
 
 
car-performance-eda.ipynb
car-performance-eda.ipynb
 
 
car_data.csv
car_data.csv
 
 
cars_msrp.csv
cars_msrp.csv
 
 
customer-purchase-prediction (1).ipynb
customer-purchase-prediction (1).ipynb
 
 
customer-shopping-trend-analysis.ipynb
customer-shopping-trend-analysis.ipynb
 
 
customer_purchase_data.csv
customer_purchase_data.csv
 
 
e-com-customer-device-usage-linear-regression.ipynb
e-com-customer-device-usage-linear-regression.ipynb
 
 
employee-churn-logreg.ipynb
employee-churn-logreg.ipynb
 
 
flower-species-classification-using-svc.ipynb
flower-species-classification-using-svc.ipynb
 
 
ford-car-price-prediction.ipynb
ford-car-price-prediction.ipynb
 
 
ford.csv
ford.csv
 
 
gym-exercise-data-analysis-and-calories-burnt-pred.ipynb
gym-exercise-data-analysis-and-calories-burnt-pred.ipynb
 
 
gym_members_exercise_tracking.csv
gym_members_exercise_tracking.csv
 
 
hotel.xlsx
hotel.xlsx
 
 
laptop-price-eda-and-prediction.ipynb
laptop-price-eda-and-prediction.ipynb
 
 
laptop_price.csv
laptop_price.csv
 
 
loan-status-prediction-using-neural-network.ipynb
loan-status-prediction-using-neural-network.ipynb
 
 
loan.csv
loan.csv
 
 
loan_approval_dataset.csv
loan_approval_dataset.csv
 
 
online-payment-fraud-detection.ipynb
online-payment-fraud-detection.ipynb
 
 
pima-indian-diabetes-prediction.ipynb
pima-indian-diabetes-prediction.ipynb
 
 
pizza-price-prediction.ipynb
pizza-price-prediction.ipynb
 
 
predictive-maintenance-classification.ipynb
predictive-maintenance-classification.ipynb
 
 
predictive_maintenance.csv
predictive_maintenance.csv
 
 
restaurent-tips-prediction (1).ipynb
restaurent-tips-prediction (1).ipynb
 
 
sleep-statistics-eda-regression.ipynb
sleep-statistics-eda-regression.ipynb
 
 
student-performance-factors-analysis.ipynb
student-performance-factors-analysis.ipynb
 
 
student-performance-multiple-linear-regression.ipynb
student-performance-multiple-linear-regression.ipynb
 
 
study-abroad-cost-predictor.ipynb
study-abroad-cost-predictor.ipynb
 
 
telco.xlsx
telco.xlsx
 
 
tips.csv
tips.csv
 
 
usa_rain_prediction_dataset_2024_2025.csv
usa_rain_prediction_dataset_2024_2025.csv
 
 
used-car-pricing-regression-analysis.ipynb
used-car-pricing-regression-analysis.ipynb
 
 

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Title: Kaggle Data Science Projects & Notebooks

Description: This repository houses a curated collection of Kaggle notebooks showcasing a range of data science projects. It includes Exploratory Data Analysis (EDA), predictive analytics, and competition entries. The notebooks are designed to demonstrate practical applications of machine learning techniques and data science methodologies, reflecting ongoing practice and skill development in the field.

Objective: The objective of this repository is to provide a comprehensive portfolio of data science work, illustrating proficiency in data analysis, feature engineering, and model building. Through this collection, I aim to share insights gained from various Kaggle competitions and projects, while continuously refining my skills in predictive analytics and exploratory data analysis.

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This repo features Kaggle notebooks with data science projects, including EDA, predictive analytics, and competition entries. It highlights practical applications of ML techniques and showcases continuous skill development in data science.

www.kaggle.com/sayande01

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machine-learning eda predictive-analytics

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