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IPL-Player-Analysisby koustav149
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EDA-fo-olympic-datset-using-pythonby ankit-834
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cars-purcahse-classificationby Tochoramaina
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product-review-classificationby Tochoramaina
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Python-Coding-Problems-With-Solutionsby Rasel1435
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Simple-Linear-Regression-model-on-Salary-data-to-predict-Test-sets-of-Salary-Vs.-Experienceby srin20
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Krótki program napisany w Jupiter Notebook w celu zescrapowania danych do analizy sentymentu w okresie hossy i bessy na rynku kryptowalut
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udacity-project-2-cassandraby m1dnight
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wk 12 homework
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Data-Analytics-Projectsby Folanuel
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whatsapp-chat-analysisby riju1999
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Analiza_Sentymentu_BTC_LDAby MikPe1
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License: No License (No License)Analiza sentymentu na podstawie zescrapowanych komentarzy z investing.com przy użyciu algorytmu Latent Dirichlet Allocation. Komentarze zostały poddane tokenizacji a liczba tematów wybrana na podstawie miary Coherence score. Biblioteki: pyLDAvis, Gensim, Nltk, Pickle
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Sentiment-Analysis-on-tweetsby Sofiaabi
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License: No License (No License)Followed the text mining workflow to perform sentiment analysis on the Badminton(2022 Thomas cup) data. Examined the polarity of the texts then pre-processed the text & extracted features about the text . Visualized the text in terms of positives and negatives.
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Python_Programming-For-and-While-Loop-by Tariq7884
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IBM-data-science-Assignmentby Alabi-Joshua
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Healthcare-Industry-Data-Science-Projectsby OgbeideAghahowa
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Tools-for-Data-Scienceby Mehdiring87
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DataScienceProjectsby davidkandy
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LinearRegression_Udemyby Praneesh-Sharma
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Customer-Segmentationby pranjal2234
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Market-Segmentation-EDA-PCA-Kmeans-by Sofiaabi
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License: No License (No License)The goal was to find patterns in the data without trying to make predictions. Performed unsupervised learning in R with basic clustering(k-means) & dimensionality reduction specifically PCA so as to get some insights from the data. This project is useful in planning better marketing strategies.
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Heart-Disease-Classificationby Sofiaabi
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License: No License (No License)Assessed the risk factors of heart disease then built predictive models(Random Forest and XGBoost) with the help of one of R’s powerful suite of packages, Tidymodels which is designed to streamline machine learning workflow. One of the main focus was tuning of the models before prediction.
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Fake-news-detectionby Bhavya2798
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Data-Visualisations-with-Plotly.Expressby kennethkoh88
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Omicron-Visualizationby Sofiaabi
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Investigation-of-ML-Models-For-Traffic-Accident-Analysisby rajkumariitk
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ML-Fake-News-detectionby Saurabh-Jaybhaye
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Titanic---Machine-Learning-from-Disasterby DartagnanFreire
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License: No License (No License)I use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
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IPL-Player-Analysisby koustav149
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EDA-fo-olympic-datset-using-pythonby ankit-834
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cars-purcahse-classificationby Tochoramaina
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ML-Eg-Eformation-HeatMap-FitingML-CrossValid-SR_wrong-predict_excelby Zhang-NJ-Lab
ML-Eg-Eformation-HeatMap-FitingML-CrossValid-SR_wrong-predict_excel; accuracy should be further improved
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yolov7-mask-trtby BaofengZan
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product-review-classificationby Tochoramaina
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Python-Coding-Problems-With-Solutionsby Rasel1435
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Income-predictorby Abhinaykotla
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Web-Scrapping-For-Cuisinesby websitecreatr99
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OpenCV_Projectsby vanshbaba
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Simple-Linear-Regression-model-on-Salary-data-to-predict-Test-sets-of-Salary-Vs.-Experienceby srin20
Here is the code written in python for using Simple Linear Regression model on Salary_Data.csv
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CASA0012by vvao123
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Chat_Scraperby MikPe1
Krótki program napisany w Jupiter Notebook w celu zescrapowania danych do analizy sentymentu w okresie hossy i bessy na rynku kryptowalut
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udacity-project-2-cassandraby m1dnight
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12_homeworkby dvclt
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apcsa-tri1by wangzi190
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Gender_recognisition_voiceby Abhinaykotla
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Data-Analytics-Projectsby Folanuel
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House_rent_predictionby behacb
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whatsapp-chat-analysisby riju1999
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Analiza_Sentymentu_BTC_LDAby MikPe1
Analiza sentymentu na podstawie zescrapowanych komentarzy z investing.com przy użyciu algorytmu Latent Dirichlet Allocation. Komentarze zostały poddane tokenizacji a liczba tematów wybrana na podstawie miary Coherence score. Biblioteki: pyLDAvis, Gensim, Nltk, Pickle
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Sentiment-Analysis-on-tweetsby Sofiaabi
Followed the text mining workflow to perform sentiment analysis on the Badminton(2022 Thomas cup) data. Examined the polarity of the texts then pre-processed the text & extracted features about the text . Visualized the text in terms of positives and negatives.
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Data-Science-Projects--Modelling--EDA-and-Visualization-by davidkandy
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Python_Programming-For-and-While-Loop-by Tariq7884
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IBM-data-science-Assignmentby Alabi-Joshua
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testing01by calculatingcabbage
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Healthcare-Industry-Data-Science-Projectsby OgbeideAghahowa
A collection of projects spanning across Data Analysis and Machine Learning with health-related datasets
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CR7-Goals-EDAby William-Muko
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Tools-for-Data-Scienceby Mehdiring87
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DataScienceProjectsby davidkandy
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LinearRegression_Udemyby Praneesh-Sharma
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CNN-Modelby Pratikkatke7
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Customer-Segmentationby pranjal2234
Creating a machine learning model using K-Means clustering to cluster the different type of customers.
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IBM-Skills-Network-Applied-Data-Science-Capstoneby rdf5
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spatial_nanoby mardzix
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Market-Segmentation-EDA-PCA-Kmeans-by Sofiaabi
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Flask_MLby madgcar
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Heart-Disease-Classificationby Sofiaabi
Assessed the risk factors of heart disease then built predictive models(Random Forest and XGBoost) with the help of one of R’s powerful suite of packages, Tidymodels which is designed to streamline machine learning workflow. One of the main focus was tuning of the models before prediction.
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EDAby yogeshhedau986
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Fake-news-detectionby Bhavya2798
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MLFLOWby Sindhuja-Ravichandran
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dnn-tsby schubertjan
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Data-Visualisations-with-Plotly.Expressby kennethkoh88
Implementation of plotly express visualisation plots using Housing Prices in Iowa dataset from Kaggle
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Data-analysis-on-no-show-appointments-datasetby stormzee
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SQLby ADARSH2203
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Omicron-Visualizationby Sofiaabi
Focused mainly in exploring and visualizing the Omicron variant ( classified as a variant of concern by World Health Organization on 26th November 2021) data.
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Investigation-of-ML-Models-For-Traffic-Accident-Analysisby rajkumariitk
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ML-Fake-News-detectionby Saurabh-Jaybhaye
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Titanicby AnchitPund
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Titanic---Machine-Learning-from-Disasterby DartagnanFreire
I use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
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