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MushRoom_Predictionby ProjectLohith
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I have Developed a Machine Learning Models which Predicts Whether a Mushroom is Edible or not by using its Characteristics. I have Developed this By using Logistic Regression, K-Nearest Neighbour, Decision Tree, Random Forest Machine Learning Models.
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Data Transformation Activities
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A simple report with 3 years credit card transaction in India using Jupyter notebook.
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Internship_NeuroMatby GuilhermeSola
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Classification Algorithms
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Email-Campaign-Effectiveness-Predictionby sune-el
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Energy_Efficiency_Projectby Akarsh-KN
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Classification_Clasterizationby Gradov270
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In this project, data preparation was carried out, a model was trained to classify users after leaving the company. The model with the greatest predictive power is logistic regression. Also, clustering of users was applied to the original dataframe. The optimal number of clusters is 5, the numbers of clusters whose users are inclined to leave the company are determined.
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casestudy-exampleby Hariteja01
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coal_image_processingby armanbolatov
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pandas_tutorial_2by me-bharathnv
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Pandas tutorial for analysis
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Analyzing suicides in India (2001-2012)
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A Python refresher and introduction to data science
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Cancer_Tumor_Predictionby ShubhamOulkar
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crime-classification-and-prediction-by vit-vivekkumar
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Sistema-de-Compartilhamento-e-Aluguel-de-Bicicletasby rayannebarros
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Projeto realizado na disciplina de Mineração de Dados, no período 2021.1
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A small machine learning project to determine fair value of a car based on a variety of variables
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Loan_Eligibility_Predictionby rahulrana0105
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AlgorithmsUN2022IIby jomaldonadob
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HEART-DISEASE-PREDICTIONby suyashbajpai731
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Python codes
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Data-Structues-in-Pythonby medooMallahi
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Anime-Recommendation-Engineby camilaballenghien
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This is the final project of my bootcamp. It's an anime recommendation system. My final engine is a hybrid recommendation system (collaborative filtering and content based filtering).
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Portfolio_Optimizationby rahulrana0105
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P.helianthoides-SSW-16sMicrobial-Repoby amccracken8
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Decission-Tree-Regressionby BHARATHBN-123
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Deep-learning-Indaba-2022by NabilBADRI
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FaceMaskInpaintingby AdamPetersPortfolio
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Tesla-stock-pricce-prediction-using-facebook-prophetby swadhin-biswal
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Here I predicted tesia stock price and forecasted graph where predicted the futuristic price of the tesla stock.Libraries used- Facebook Prophet.
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Sentiment_Analysisby rahulrana0105
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Data_scienceby VicenteTorresBunzli
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IBM_Data_Science_ML_Assignmentby MohammadAmin-Miri
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My first ML Project
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WEB scrapping
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Notebooks com estudos sobre gráficos e Matplotlib, utilizados no custo de Data Science da Hashtag Treinamentos.
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K-Leagueby Iamdohyun
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MushRoom_Predictionby ProjectLohith
I have Developed a Machine Learning Models which Predicts Whether a Mushroom is Edible or not by using its Characteristics. I have Developed this By using Logistic Regression, K-Nearest Neighbour, Decision Tree, Random Forest Machine Learning Models.
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Data_Transformationby Harita01
Data Transformation Activities
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Ocr_BD_NIDby Saikatmeca
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CreditCard-Reportby EEEEEEdison
A simple report with 3 years credit card transaction in India using Jupyter notebook.
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COS3302_week2by PaoRU
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hugo-blog-theme-hmby hmatthau
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Internship_NeuroMatby GuilhermeSola
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Classificationby Harita01
Classification Algorithms
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Email-Campaign-Effectiveness-Predictionby sune-el
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livestock-repoby astervolta
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Energy_Efficiency_Projectby Akarsh-KN
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Classification_Clasterizationby Gradov270
In this project, data preparation was carried out, a model was trained to classify users after leaving the company. The model with the greatest predictive power is logistic regression. Also, clustering of users was applied to the original dataframe. The optimal number of clusters is 5, the numbers of clusters whose users are inclined to leave the company are determined.
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casestudy-exampleby Hariteja01
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LGby Iamdohyun
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Credit_Risk_Analysisby UnixBear
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coal_image_processingby armanbolatov
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Project1by ShevelevDV
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pandas_tutorial_2by me-bharathnv
Pandas tutorial for analysis
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Challenges-INEURON-by Pravat-21
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indiasuicideby BhavyaKumar527
Analyzing suicides in India (2001-2012)
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cis277-00-introby FHU
A Python refresher and introduction to data science
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Cancer_Tumor_Predictionby ShubhamOulkar
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SP500by nightfury1103
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crime-classification-and-prediction-by vit-vivekkumar
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Sistema-de-Compartilhamento-e-Aluguel-de-Bicicletasby rayannebarros
Projeto realizado na disciplina de Mineração de Dados, no período 2021.1
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carlearnby bennett2winit
A small machine learning project to determine fair value of a car based on a variety of variables
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Loan_Eligibility_Predictionby rahulrana0105
Loan_Eligibility_Prediction
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AlgorithmsUN2022IIby jomaldonadob
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HEART-DISEASE-PREDICTIONby suyashbajpai731
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Makers-in-HUFSby woorym
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Data-Structues-in-Pythonby medooMallahi
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Anime-Recommendation-Engineby camilaballenghien
This is the final project of my bootcamp. It's an anime recommendation system. My final engine is a hybrid recommendation system (collaborative filtering and content based filtering).
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Portfolio_Optimizationby rahulrana0105
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P.helianthoides-SSW-16sMicrobial-Repoby amccracken8
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projectby parkhyerinn
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Decission-Tree-Regressionby BHARATHBN-123
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Deep-learning-Indaba-2022by NabilBADRI
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T2by Rohit072
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FaceMaskInpaintingby AdamPetersPortfolio
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Tesla-stock-pricce-prediction-using-facebook-prophetby swadhin-biswal
Here I predicted tesia stock price and forecasted graph where predicted the futuristic price of the tesla stock.Libraries used- Facebook Prophet.
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MATLS-3J03-Fall-2022by cbassim
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Sentiment_Analysisby rahulrana0105
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Data_scienceby VicenteTorresBunzli
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IBM_Data_Science_ML_Assignmentby MohammadAmin-Miri
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hello_dsby babs232
My first ML Project
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WEB_Scrapingby Harita01
WEB scrapping
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Matplotlibby aboutdouglas
Notebooks com estudos sobre gráficos e Matplotlib, utilizados no custo de Data Science da Hashtag Treinamentos.
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Naming-Quizby rmcrae
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