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mmuzammil196

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Agriculture-Optimization-Predicting-model

This model predict the agriculture seed . In this this what we grow in our agriculture land.

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Trumps-tweets-Sentiment-Analysis-2

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Machine-Learning-Projects

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Project-Building-a-model-to-predict-Diabetes

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Laptop-Price-Predictor-Model

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EDA-of-Pakistan-Covid-19

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Image_Processing_Python_Sklearn

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Learn_Python_In_20_Days

Learn Python in 20 Days. Beginner to Advance Level Course.

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SCRAPE_DATA_WEBSITE_API

I have done WEBSITE data scraping using API

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Analysis-Stock_Price

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Blog-Website-Using-Python-Flask-Bootstrap

Python-Flask-Course

JavaScript

python-program-online

I learn python online from data science by jawan program pakistan. Assignment # 1

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Sentiment-Detect-using-NLP

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Analysing-Spam-Collection-Data

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Pakistan-job-Market-Analysis

This repository is belong to pakistan job vacancy in 2019.

Book_Recomendation_System

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Python

In this repository I will cover the whole python promming step by step in jupyter notebook with code and comments .

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Data_Manipulation_Pandas_Python

I Have use Python library named pandas for data manipulating

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game-tweet-sentiment-analysis

In this project, I have done Sentiment Analysis on game tweets. I have to build a predictive model. This model will tell whether this tweet is Toxic or Not.

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Email-Spam-Predictor

This machine learning model tell us is email or message spam or ham.

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hello-m

Repository for R programming.

Solving-Linear-Algebra-problem-using-SciPy

DESCRIPTION Problem: Use SciPy to solve a linear algebra problem. There is a test with 30 questions worth 150 marks. The test has two types of questions: 1. True or false – carries 4 marks each 2. Multiple-choice – carries 9 marks each Find the number of true or false and multiple-choice questions.

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Analyse-NewYork-city-fire-department-Dataset-Pandas

DESCRIPTION What to: A dataset in CSV format is given for the Fire Department of New York City. Analyze the dataset to determine: The total number of fire department facilities in New York city The number of fire department facilities in each borough The facility names in Manhattan

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Fin-tech-project

Analyse-GDP-of-Countries-Using-Numpy

DESCRIPTION Problem Statement: Evaluate the dataset containing the GDPs of different countries to: Find and print the name of the country with the highest GDP Find and print the name of the country with the lowest GDP Print out text and input values iteratively Print out the entire list of the countries with their GDPs Print the highest GDP value, lowest GDP value, mean GDP value, standardized GDP value, and the sum of all the GDPs

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Natural_Language_Processing_Course

In this repository you have get basic information how nlp work and why why we use nlp in daily life. If you learned any kind of knowledge from this repository so kindly feel to share this repository and vote it. Thank you.

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Analyse-the-Federal-Aviation-Authority-Dataset-using-Pandas

DESCRIPTION Problem: Analyze the Federal Aviation Authority (FAA) dataset using Pandas to do the following: View aircraft make name state name aircraft model name text information flight phase event description type fatal flag 2. Clean the dataset and replace the fatal flag NaN with “No” 3. Find the aircraft types and their occurrences in the dataset 4. Remove all the observations where aircraft names are not available 5. Display the observations where fatal flag is “Yes”

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Analyse-London-Olympics-Dataset-

DESCRIPTION Problem: Evaluate the dataset of the Summer Olympics, London 2012 to: Find and print the name of the country that won maximum gold medals, Find and print the countries who won more than 20 gold medals, Print the medal tally, Print each country name with the corresponding number of gold medals, and Print each country's name with the total number of medals won.

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Analysing-Ad-Budgets-for-different-media-channels

DESCRIPTION Problem: The given dataset contains ad budgets for different media channels and the corresponding ad sales of XYZ firm. Evaluate the dataset to: Find the features or media channels used by the firm Find the sales figures for each channel Create a model to predict the sales outcome Split as training and testing datasets for the model Calculate the Mean Square Error (MSE)

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Fin-tech-ML-Project

The Financial Technology company (Fin-Tech Company) launch there a mobile app. This app used for financial purposes like bank loans, savings, etc. in one place. It has two versions free and premium. The free version app contains basic features and customer wants to use the premium feature then they have to pay some amount to unlock it. The main goal of the company is to sell the premium version app with low advertisement cost but they don’t know how to do it. That’s a reason they are provided the premium feature in the free version app for 24 hours to collect the customer’s behavior. After that, the company hired the Machine Learning Engineer to find insight from the collected data (customer’s behavior). The job of the ML engineer is to find or predict new customer who is interested to buy the product or not. If the customers will buy a product anyway so no need to give an offer to that customer and loss the business. Only give offers to those customers who are interested to use premium version app but they can’t afford its cost. So the company will give offers to those customers and earn more money.

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mmuzammil196/Student-Percentage-Prediction-App-Using-Machine-Learning-deploy-on-Flask

mmuzammil196

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