Amir Motefaker's repositories
Uber-Data-Analysis
Uber Data Analysis using R
Instagram-Reach-Analysis
Instagram is one of the most popular social media applications today. People using Instagram professionally are using it for promoting their business, building a portfolio, blogging, and creating various kinds of content.
Analysis-of-Hotel-Customer-Sentiments
Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.
Bank-Customer-Churn-Prediction
Predicting which customers are at high risk of leaving your company or canceling a subscription to a service, based on their behavior with your product.
Coronavirus-COVID19-pandemic
Coronavirus disease (COVID-19) pandemic Visualization & Prediction
Customer-Lifetime-Value-Analysis
Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps businesses make data-driven decisions on how to allocate their resources and improve their customer relationships.
Customer-Segmentation
Customer Segmentation using K-Means Algorithm
Customer-Segmentation-using-R
Customer Segmentation using R
Detect-Credit-Card-Fraud-using-R
Detect Credit Card Fraud with Machine Learning in R
Exploratory-Data-Analysis-using-R
How to use visualization and transformation to explore data called EDA.
Flipkart-Reviews-Sentiment-Analysis
Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product reviews sold on e-commerce platforms.
Movie-Recommendation-System-using-R
Movie Recommendation System Project using ML in R
Recession-Analysis
A recession is an economic situation that arrives when the circulation of money in the economy is low for two consecutive quarters. When the circulation of money is low, it means people are not spending money in the market.
Sentiment-Analysis-Model-using-R
build a sentiment analysis model which will allow us to categorize words based on their sentiments, that is whether they are positive, negative and also the magnitude of it.
Smartwatch-Data-Analysis
Analyzing the data collected on your fitness is one of the use cases of Data Science in healthcare.
Telecom-Customer-Churn-Prediction
Churn is a one of the biggest problem in the telecom industry.
Tensors-and-Dynamic-NNs
Tensors and Dynamic neural networks(NNs) in Python with and without GPU acceleration
UkraineRussia-War-Twitter-Sentiment-Analysis
More than 400 days have passed since the war between Russia and Ukraine. Many countries support Ukraine by imposing economic sanctions against Russia. There are a lot of tweets about the Ukraine-Russia war where people tend to update the facts on the ground, how they feel about it, and who they support.
Titanic-Machine-Learning-from-Disaster
Predict survival on the Titanic and get familiar with ML basics
A-B-Testing
A/B Testing means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently.
Accelerometer-Data-Analysis
Accelerometer is a device used to measure the acceleration or vibrations of a motion. The data provided by an accelerometer is three-dimensional and can be used in data-driven applications for solving problems like fall detection and health monitoring.
Algorithmic-Trading
Algorithmic Trading is the use of algorithms in the financial market to make trading decisions. JP Morgan Chase & Co. is one of the businesses that use Algorithmic Trading for investment decisions.
Cricketer-Players-Analyzing
Virat Kohli is an Indian international cricketer and the former captain of the Indian national cricket team. Analyzing a player’s performance is one of the use cases of Data Science in sports analytics. Virat Kohli is one of the most famous cricketers in the world.
Detecting-Fake-News
Detecting Fake News with Python and Machine Learning
Exploratory-Data-Analysis-using-Python
Exploratory data analysis (EDA) is a Data Science concept where we analyze a dataset to discover patterns, trends, and relationships within the data.
ICC-Mens-T20-World-Cup-2022-Analysis
If you want to learn how to analyze a sports event like the T20 World Cup, this notebook is for you. This notebook will take you through the task of T20 World Cup 2022 analysis using Python.
Prediction-of-tipping-waiters-for-serving-food
Tipping waiters for serving food depends on many factors like the type of restaurant, how many people you are with, how much amount you pay as your bill.
Screen-Time-Application-Analysis
Screen Time Analysis lets you know how much time you spend on what kind of applications and websites using your device. And screen time analysis gives a visual report of the same. So, if you want to learn how to analyze screen time, this article is for you.
Uber-Trips-Analysis
Uber has been a major source of travel for people living in urban areas. Some people don’t have their vehicles while some don’t drive their vehicles intentionally because of their busy schedule. So different kinds of people are using the services of Uber and other taxi services.
User-Funnel-Analysis
User Funnel Analysis is a way to analyze the flow of users on a website or an application. It helps analyze the conversion rate on each page visited by the users.