Furqanamjad/Dibates-Paitents-data-set

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Furqanamjad/Dibates-Paitents-data-set

Furqanamjad

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Pysentimento_and_vader_com

We have attempted for the reproducibility, by performing sentiment analysis on a dataset of English tweets, using VADER library, and comparing its results with the author’s original code, introduced in the paper, pysentimiento toolkit.

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overall_Online_sales_Analytics

Overall Online sales Analytics w.r.t customer ,Locations, Products, Categories and...

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Malaria-Detection-from-Blood-cell

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HR_CHUM-Data

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Basic-EDA-Steps

Basic EDA on Dibates Dataset

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PPT-mental-stress

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Heart-Attack-Classification

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Spain-Trains-Price-Predication

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Random-Tweets-Classification

In this we collect Random Tweets from all over the Pakistan on different Topics and and get interesting Information also perform Sentimental Analysis

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Sentimental-Analysis-Using-Naive_Bayes

We use Pakistan Random Tweets Dataset and perform Sentimental Analysis Using Naive Bayes,We train naive Bayes on Sample NLTK Tweets Dataset and test on our "Pakistan Random Tweets Dataset"

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Sentimental_Analysis-Using-Logistic-Regression

Sentimental Analysis using Simple Logistic Regression Model. Perform Cleaning, EDA, Visualizations, Make Clouds

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Furqanamjad-Battery_discharging_forecast_using-Profit

Battery discharging forecast using Profit, use python libraries to plot the results

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