GitHub / krishcy25 / Building-several-Classification-MachineLearning-Algorithms
This repository focuses on building several Classification Machine Learning algorithms from scratch following the standard approach of using Data Exploration/Data Preparation techniques. Several algorithms (Logistic, XGBoost, KNN, SVC, Naive Bayes) were trained and used to predict the unseen data. All the algorithms were built as part of Analytics Vidhya Competition
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Language: Jupyter Notebook
Size: 2.82 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: 9 months ago
Pushed at: almost 5 years ago
Last synced at: 9 months ago
Topics: analytics-vidhya-competition, data-exploration, data-preparation-and-analysis, knn-classification, logistic-regression, model-building, naive-bayes-classifier, support-vector-machines, xgboost-classifier