Instead of hand-coding the preprocessing of data within a data science life cycle project, you can make use of these modules to automatically preprocess your data
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Updated
Dec 30, 2020 - Jupyter Notebook
Instead of hand-coding the preprocessing of data within a data science life cycle project, you can make use of these modules to automatically preprocess your data
Rest API for predicting default scores
Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
BSA-QTL Mapping in Drosophila Ananassae
Preprocessing scripts for 1:50K tiles issued by the survey department, Sri Lanka
Customer personality analysis project
Data preprocessing for Artificial Intelligence
DataCamp Jupyter Notebooks for Machine Learning
During the data preprocessing step, I identified three tasks that I believe are crucial and require careful attention: data transformation, handling outliers, and managing missing values. This repository serves as a resource to share what I've learned on these topics for anyone interested.
This project predicts credit card application approval by analyzing applicant data. It includes EDA, preprocessing, feature selection with Genetic Algorithms, and classification using KNN, Decision Trees, and MLP models.
A web app which facilitates user to visualize data and perform statistical operation without any need to write code in machine learning and data science domain.
This is my first project on NLP algorithms and techniques to identify duplicate questions.
Rent pricing prediction on NY properties with interactive dashboards.
Machine Learning projects
Top companies in USA
An comprehensive data analysis of a particular market and its customers.
🔬 For a paper on AI / ML in Support Ticket Systems, I used this code to clean my data.
classifying potato leaf diseases using advanced computer vision techniques and convolutional neural networks (CNNs).
Growing collection of scripts that manipulate text data.
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