sharmaroshan / Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
☆71Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Fraud-Detection-in-Online-Transactions
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆48Updated 5 years ago
- Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization an…☆28Updated 4 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…☆29Updated 5 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter i…☆11Updated 5 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆28Updated 5 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…☆15Updated 5 years ago
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆34Updated 5 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 …☆17Updated 5 years ago
- Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Fe…☆14Updated 5 years ago
- Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a…☆61Updated 4 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…☆29Updated 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…☆22Updated 4 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…☆37Updated 5 years ago
- Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasin…☆11Updated 5 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 …☆15Updated 5 years ago
- Using Natural Language Processing and Bag of Words for feature extraction for sentiment analysis of the customers visited in the Restaura…☆12Updated 5 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…☆9Updated 5 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆100Updated last year
- Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Le…☆8Updated 4 years ago
- It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.☆7Updated 5 years ago
- The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning☆11Updated 5 years ago
- Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.☆10Updated 5 years ago
- Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning☆10Updated 5 years ago
- Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.☆13Updated 5 years ago
- Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms i…☆9Updated 5 years ago
- One of the most basic data sets to learn and implement some of the most easy and basic algorithms of machine learning and visualization☆9Updated 5 years ago
- It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.☆8Updated 5 years ago
- Analyzing the Factors on which Graduates get Admissions in Abroad and Visualizing some of the most intriguing and interesting patterns fo…☆9Updated 5 years ago
- Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific…☆13Updated 5 years ago
- Analyzing the Growth of Women in USA over Years in different departments and field of Bachelor's Degree offered in USA, using Data Analys…☆8Updated 5 years ago