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This repository contains part of all my relevant codes and models I have worked on as regards Machine Learning, achieving state-of-the-art results, and high-performance metrics depending on the type of problem to be solved

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E-wave112/ml_proj1

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ml_proj1

  • This repository contains part of all my relevant codes and models I have worked on as regards Machine Learning, achieving state-of-the-art results and high-performance metrics depending on the type of problem to be solved

  • Also checkout my other notebook repository here

  • See the descriptions of each notebook below:

  • Zindi Hack: A notebook containing the Machine Learning Model i built during the 2020 DSN AI Mini Hackathon on the zindi platform

  • WEATHER FORECAST: A time series forecasting ARIMA model on predicting air quality over time. data set was obtained from the UCI archive

  • SENTIMENT: A NLP based project analyzing various user tweets and classifying their sentiment as either being positive or negative.

  • POWER IN INDIA: A notebook which involves the exploratory data analysis and visualization in order to gain insights on how the coronavirus pandemic affected power distribution in various indian cities

  • ALL THINGS SPOOKY: The spooky author identification notebook involves the use of natural language processing and text classification to determine which of the three most versed literature writers in all things spooky and horrific (Edgar Allan Poe, Mary Shelley, and HP Lovecraft) wrote each phrase/text in the dataset.

  • SPAM: A state of the art spam detection Machine Learning Model built with various algorithms such as Decision Trees,Random Forests Classifiers, Support Vector Machines,Logistic Regression and K-Nearest-Neighbors

  • HAMOYE EXTERNSHIP: A starter notebook on all the data analysis codes written during the 2021 hamoye Externship

  • TITAN: A kaggle competiton notebook on the Titanic Survival Dataset

  • COMPUTER-V: A primer into the world of computer vison via the mnist dataset !

  • M-Fake-News-Model: A modified version of the trained nlp model for classifying a fake news from a genuine one. check out the initial model here

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This repository contains part of all my relevant codes and models I have worked on as regards Machine Learning, achieving state-of-the-art results, and high-performance metrics depending on the type of problem to be solved

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