Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.
☆10May 23, 2019Updated 6 years ago
Alternatives and similar repositories for Clustering-of-Mall-Customers
Users that are interested in Clustering-of-Mall-Customers are comparing it to the libraries listed below
Sorting:
- Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific…☆12Jul 12, 2019Updated 6 years ago
- Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.☆10Apr 20, 2019Updated 6 years ago
- Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Fe…☆13May 31, 2019Updated 6 years ago
- Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.☆10May 13, 2019Updated 6 years ago
- The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning☆11Mar 31, 2019Updated 6 years ago
- Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP …☆16Mar 31, 2019Updated 6 years ago
- Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings…☆15Jun 16, 2019Updated 6 years ago
- Using Natural Language Processing and Bag of Words for feature extraction for sentiment analysis of the customers visited in the Restaura…☆12Mar 31, 2019Updated 6 years ago
- Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.☆13May 24, 2019Updated 6 years ago
- In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms fo…☆10Mar 31, 2019Updated 6 years ago
- It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed …☆18Mar 31, 2019Updated 6 years ago
- Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and ap…☆31Mar 31, 2019Updated 6 years ago
- Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.☆17Mar 31, 2019Updated 6 years ago
- It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.☆10May 20, 2019Updated 6 years ago
- Mining Student's Performances through their results in final and intermediate exams using Machine Learning☆15Apr 17, 2019Updated 6 years ago
- Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning☆10May 13, 2019Updated 6 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter i…☆10Apr 13, 2019Updated 6 years ago
- Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and …☆13May 13, 2019Updated 6 years ago
- In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The…☆17Jun 5, 2019Updated 6 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆53May 23, 2019Updated 6 years ago
- Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be ve…☆26May 20, 2019Updated 6 years ago
- Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization an…☆33Jun 11, 2020Updated 5 years ago
- I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series…☆23Jan 25, 2020Updated 6 years ago
- This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other rel…☆28May 31, 2019Updated 6 years ago
- It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regre…☆15Apr 20, 2019Updated 6 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34May 13, 2019Updated 6 years ago
- Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a…☆65Apr 29, 2020Updated 5 years ago
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆34Mar 31, 2019Updated 6 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆40Apr 20, 2019Updated 6 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆91May 23, 2019Updated 6 years ago
- Using Apriori Algorithm to do Market Basket Analysis of Customers purchasing behaviours. It can predict what the customer is going to buy…☆13Apr 17, 2019Updated 6 years ago
- It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by m…☆270Nov 3, 2023Updated 2 years ago
- This is a Bank Transaction Fraud detection model.☆15Aug 4, 2022Updated 3 years ago
- This repo contains my jupyter notebook for a data challenge for building a machine learning model to identify fraud in e-commerce transac…☆13Apr 3, 2017Updated 8 years ago
- This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compar…☆10Oct 19, 2020Updated 5 years ago
- Modelling Airbnb prices in London using different Machine Learning models (Random Forest, Gradient Boosting, Neural Network)☆10Feb 5, 2019Updated 7 years ago
- Web Scraping "List of companies in India" from AmbitionBox Website using Python and Beautiful Soup☆15Dec 31, 2023Updated 2 years ago
- The classification goal is to predict if the client will subscribe a term deposit (variable y).☆18Jan 29, 2018Updated 8 years ago
- ☆22Apr 12, 2025Updated 11 months ago