onehot-encoder
There are 42 repositories under onehot-encoder topic.
jeremy191/clustering-based-anomaly-detection
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
TsLu1s/atlantic
Atlantic: Automated Data Preprocessing Framework for Machine Learning
gyrdym/ml_preprocessing
Implementation of popular data preprocessing algorithms for Machine learning
venkat-0706/Titanic-Survival-Prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
singhrahuldps/OneHotEncode
A python script to deploy One-Hot encoding in Pandas Dataframes
m-clark/tidyext
Extensions and extras for tidy processing.
sayhitosandy/Chatbot
Automatic Response Generation to Conversational Stimuli
alexloser/xsvt
Small tools for csv file processing (onehot encoding, format checking and converting to libsvm).
anazhmetdin/protEncoder
python package to encode protein using different methods for machine learning
AhmadSaad310/Electronic-Music-Classification-ML
Electronic Music Classification ML
BartBoerman/classify-passenger-survival-titanic-h2o
This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.
juzcho/Machine_Learning_Trading_Bot
This is in regard to algorithmic trading bot with the use of machine learning to predict potential returns and actual returns.
Kyle-Pu/Python-Data-Science-Projects
A host of data science + machine learning projects with Python, pandas, scikit-learn and more!
OverFlowData/PersianTextSimilarity
OneHotVector and K means
paritosh3006/Trend_Analysis_in_APMC
Challenge 1: Agriculture Commodities, Prices & Seasons Aim: Your team is working on building a variety of insight packs to measure key trends in the Agriculture sector in India. You are presented with a data set around Agriculture and your aim is to understand trends in APMC (Agricultural produce market committee)/mandi price & quantity arrival data for different commodities in Maharashtra. Objective: Test and filter outliers. Understand price fluctuations accounting the seasonal effect Detect seasonality type (multiplicative or additive) for each cluster of APMC and commodities De-seasonalise prices for each commodity and APMC according to the detected seasonality type Compare prices in APMC/Mandi with MSP(Minimum Support Price)- raw and deseasonalised Flag set of APMC/mandis and commodities with highest price fluctuation across different commodities in each relevant season, and year.
tejasp12/Retail--Big-Mart_Sales_Analysis
Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.
AhmadSaad310/ML-Drug-Classification
Machine Learning Drug Classification
Bramitha-gowda-M/T20-world-cup-prediction-system
T20 World Cup Prediction System -- This GitHub repository contains the code for a T20 World Cup prediction system implemented in Python. The project utilizes popular libraries such as pandas, NumPy, and XGBoost for data manipulation, cleaning, and building predictive models.
d-kavinraja/AI-Powered-Loan-Eligibility-Risk-Scoring-System
A comprehensive end-to-end machine learning system that predicts loan default risk using advanced algorithms and provides a professional web interface for risk assessment.
prashantpagaree/Project-Salary-Prediction-Machine-Learning
Data Preprocessing for Machine Learning
rhl-gupta/Deep-Learning-using-TensorFlow
This repository contains jupyter notebooks explaining the basics of TF and deep learning classification model using TF
sadhave2511/Titanic_Kaggle
Employed hyper-parameter tuning (Gridsearch CV) and ensemble methods (Voting Classifier) to combine the results of the best models. Data Cleaning and Exploration using Pandas. Stratified Cross Validation to model and validate the training data
williakn3/Machine-Learning-Project--2
Machine Learning Project
emaynard10/Neural_network_charity_analysis
Exploring machine learning with nueral networks for a charity analysis. Adjusting the model to try and improve accuracy to predict which projects are likely to be successful.
NotTheStallion/Data_preparation_4_ML_algorithm
This project will focus on data preparation and will follow the steps : data cleaning, handling text and categorical attributes, and feature scaling.
suyinwb/Neural_Network_Charity_Analysis
From Alphabet Soup’s business team, Beks received a CSV containing more than 34,000 organizations that have received funding from Alphabet Soup over the years. Within this dataset are a number of columns that capture metadata about each organization
YaminiGhumre/50_startups_prj3
50_startups_prj3 multiple linear regression practical
DataSpieler12345/ml-with-python
Python Machine Learning Projects | Hands-on Experience...
jigyasaG18/Employee-Salary-Prediction-Jigyasa
PayNexus is a machine learning-powered web app that predicts employee salaries based on role, education, and experience. Built using Python, Streamlit, and scikit-learn, it supports both single and batch predictions. The app includes advanced features like resume parsing via NLP and interactive visual analytics. Ideal for job seekers, HR profession
MonarchofCoding/bike-sharing-demand-prediction
A machine learning project to predict bike rental demand using historical data. This project uses an end-to-end workflow including data preprocessing, feature engineering, and a tuned XGBoost Regressor model to achieve high predictive accuracy.