shakshamchauhan Goto Github PK

core-java

coursera-python-notebook

credit-card-fraud-detection

Working on scikit-learn library in Python to classify - Anonymized credit card transactions labeled as fraudulent or genuine. The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. It contains only numerical input variables which are the result of a PCA transformation. Here in this module I'm working on three classification models : Decision Tree Classifier K-nearest neighbors (KNN) Classifier Random Forest Classifer to predict Anonymized credit card transactions as fraudulent or genuine. In order to do so I have done my data Processing : Handled Missing values : Using mean Standarised the data : Using Standardisation At the end, calculate the acuracy rate and error rate of all three classification. Decision Tree Accuracy : Accuracy_Decison : 99.87361325656508 -- (A better approach to follow) Error_rate : 0.12638674343491083 Random Forest Accuracy : Accuracy_Decison : 99.92978514253616 Error_rate : 0.07021485746383935 K-nearest neighbors (KNN) Accuracy : Accuracy_Decison : 99.9578710855217 Error_rate : 0.04212891447830361 Thanks for looking it :) .... Feel free to like :)

creditcardml

This is the source code for the Credit Card Fraud Detection Project in Machine Learning.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-structures-and-algorithms

This repo helps keep track about exercises, Jupyter Notebooks and projects from the Data Structures & Algorithms Nanodegree Program offered at Udacity.

databricks-certifications

education-outreach--data-science-workshop

filmeditdetection

A tool to detect cuts in old films.

hackclub

🎓🏫 Hack Club is a nonprofit network of computer science clubs where members learn to code through tinkering and building projects

ipl-data-analysis-using-databricks-pyspark

lakehouse-formation

perfect-roadmap-to-learn-data-science-in-2024

sudoku-solver

Smart solution to solve sudoku in VR

test_databricks_repo

tic-tac-toe-by-shaksham

website-blocker-project

This Website blocking project is competed using python.It will be very useful ,while working in offices(working hours). For to start ,you need to find the path of the local host script and creat a task in task scheduler.