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Credit-Card-Fraud-detection-with-R
Business Problem: Credit card fraud detection using supervise ML Model/Algorithm in R languagesscswapnil
Swapnil Chavan PortfolioFeature_extraction_and_modelling_pipeline
Feature extraction is another procedure that is susceptible to data leakage. Like data preparation, feature extraction procedures must be restricted to the data in your training dataset.The pipeline provides a handy tool called the FeatureUnion which allows the results of multiple feature selection and extraction procedures to be combined into a larger dataset on which a model can be trained. Importantly, all the feature extraction and the feature union occurs within each fold of the cross validation procedure.CHI_SQUARE_Excel_Python
CHI_SQUR Test is use to analyse testing of hypothesis for categorical dataml_projec_template_abhishekh_thakur
Abhishekh Thakur Project Base TemplateKERAS
Azure_ML_K_Means_Clustering
https://gallery.cortanaintelligence.com/Experiment/K-Means-Clustering-4Linux_Scripting_My_Tutorials
Basic To simple Application Scrirting In Unix (LinuxKernal)Natural_Language_Processing
Natural Language Processing excercises.Decision-Tree-And-Random-Forest
Simple Algorithm of Decision tree and Random Forest For Bank Loan_dataPython-ML_Credit_Card_Improvement
Supervise ML in Python for the credit card fraud detectionPostgreSQL12_with_Python_Jupyter
This all Excersies provide PostgreSQL Tutorials with Jupyter PythonDATA_SCIENCE_IMP_CHEATSHEETS
very useful and Important data Science CheatsheetsTableau-Project
My First Project on Tableau :- Mobile App Developement RegionsANOVA_Excel_R_Python
Manual Calculation of ANOVA in Excel And Short Cut To Calculate ANOVATime_Series_Analysis
Time_series_Analysis using ARIMA Model for stationary time series data for forecastingMNIST_Handwritten_number_recognition
Best excercise to work with to start NLP.Credit_Card_Fraud_Detection_in_Jupyter_with_R
All My projectsMy-Machine-Learning-Algorith-And-Program
Machine Learning All Programs and Algorithms (Superwise, Unsuperwise and Reinforcemremt learningHacker_Rank_Datascience_Problem_Solution
This is my first Hacker rank test code for Data Science Machine Learning.Probabilty_Distribution_Mass-Density
Probability Distribution is very helpful DataScience..... Never Ever ignore the ProbabilitiesPython-Project-Template
#Python Project TemplateApriori-Algorithm
Association rule mining algorithms such as Apriori are very useful for finding simple associations between our data items. They are easy to implement and have high explain-ability. However, you can probably see that this method is a very simple way to get basic associations if that's all your use-case needs.MySQLDb_WITH_JUPYTER_NOTEBOOK
Full Excersies of Jupyter Notebook Dealing with MYSQLDBRecommender_Engine
Recommender engine or system is very usefull in lots of industries. By the similarity score we can recommend anything to the user as per his/her requirement.Web_Scrapping
My first excercise in this web scrapping is that to collect the data related to "Australia bush fire" from wikipedia pageOne-line-of-code-to-write-batch-file-for-Python-Script-Modern-way
This repository includes the script for medium post related to "One line of code to write batch file for Python Script (Modernย way)"Multiple-Logistic-Regression
Multiple logistic regression to classify types of glassObject_Detection_with_10_lines_of_code
Object detection with the help of computer vision ... This is very basic excersies to learn Deep Learning....... journey of Deep Learning start from here...... Deep Learning is a Beautiful new world......Naive-bayers-SVM-KNN-Models
Naive Bayers, KNN, SVM For classification sample AlgorithmsLove Open Source and this site? Check out how you can help us