niteshsukhwani/MLSMOTE

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45
Rank 622,023 (Top 13 %)
Language
Python
Created over 4 years ago
Updated almost 4 years ago

niteshsukhwani/MLSMOTE

niteshsukhwani

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Multi label Synthetic Minority Over-sampling Technique (MLSMOTE)

Electricity-Price-Forecasting-using-Hybrid-Model

Jupyter Notebook

Apriori-Algorithm

find the frequent itemset from a transaction dataset and give association rule corresponding to those.

Sementic_Textual_Similarity

Jupyter Notebook

Unsupervised-learning-algorithm--without-using-pre-defined-library-functions

UnSupervised learning Algorithm like Kmeans , Kmedoids , without using library function.

Jupyter Notebook

Wallpaper_Scraper

Scrape the wallpaper from wallpaper.cc given the search query and number of wallpaper need to be scraped

SVM-V-s-FNN

Jupyter Notebook

Decision_tree

train the decision tree and give a tree in the form of dictionary as a output

Jupyter Notebook

Face-Recognition-using-Transfer-Learning

Face Recognition using Tensor Flow and FaceNet

Jupyter Notebook

Analytics-Vidhya-Hackathone-HR-Analytics

Jupyter Notebook

Automatic-Noise-Detection-and-Removal-Using-Hybrid-Filter

image-classification-from-scrath-using-deep-learing

Jupyter Notebook

Supply-chain-management-using-social-media-analytics

The objective of this study is to use text data analytics and find out how the supply chain can be improved at various stages to get a consumer -centric supply chain.

Jupyter Notebook