Topic: "featurescaling"
FaisalAhmed21/CSE422-Artificial-Intelligence
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BALAJIHARIDASAN/Exploratory-Data-Analysis
Exploratory Data Analysis
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venkatesh-eranti/clustering_milestone-project-Wholesale-customers
The wholesale distributor is considering changing its delivery service from currently 5 days a week to 3 days a week. However, the distributor will only make this change in delivery service for customers that react positively. How can the wholesale distributor use the customer segments to determine which customers, if any, would reach positively to the change in delivery service?
Language: Jupyter Notebook - Size: 721 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
Aryan22163/Fraud_detection_bank
A machine learning project for detecting fraudulent credit card transactions using classification algorithms. Focused on handling imbalanced data and optimizing for real-world fraud detection
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zxurie/Fuel-Efficiency-Prediction--Python
This is a learning project for practice, using regression on the Auto MPG dataset to predict fuel efficiency. It involves building a Neural Network with RMSprop, MSE loss, data normalization, and early stopping to prevent overfitting. Key: normalize data, use MAE/MSE, optimize model.
Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Rajitha0411/ML
The Global Superstore dataset is a comprehensive collection of sales data spanning multiple years, regions, and product categories. This rich dataset encapsulates critical business metrics including sales revenue, profit, order quantity, and shipping cost, making it ideal for various data analysis and machine learning projects.
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AryanPatill/Fuel-Efficiency-Prediction--Python
This is a learning project for practice, using regression on the Auto MPG dataset to predict fuel efficiency. It involves building a Neural Network with RMSprop, MSE loss, data normalization, and early stopping to prevent overfitting. Key: normalize data, use MAE/MSE, optimize model.
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Tanmoy9563/Treue_Technologies
This is about Treue Technologies Data science Internship tasks.
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anandanraju/Analysis_On_House_Sales_using_LR_and_RR
This project contains dataset of house sale prices for USA. It includes homes sold between May 2019 and May 2020. Goal to determine the market price of a house given a set of features.Analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.
Language: Jupyter Notebook - Size: 630 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
PrakritiKhilnani/Machine-learning
ML using NumPy and Pandas
Language: Python - Size: 2.84 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
ashishyadav24092000/MAchineLearning_FeatureEngineering1
In this i have performed complete feature engineering that is from handling null values, Categorical features upto performing feature scaling on our test_data and train_data.
Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
vishvadesai9/Feature_Scaling
Study feature scaling.
Language: Jupyter Notebook - Size: 123 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
vivekpisal/ML_Library
Language: Python - Size: 90.8 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1
