Data Science Project- Credit Card Fraud Detection using Machine Learning | Python Training |Edureka




[ad_1]

🔥Python Certification Training: https://www.edureka.co/data-science-python-certification-course

This Edureka Live on Data Science Project-3 will help you understand how we can use the logistic regression algorithm to predict outcomes based on data-driven insights.

🔹Python Tutorial Playlist: https://goo.gl/WsBpKe
🔹Blog Series: http://bit.ly/2sqmP4s

#PythonEdureka #Edureka #datascienceproject #pythonprojects #pythonprogramming #pythontutorial #PythonTraining

To subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN
Meetup: https://www.meetup.com/edureka/

————————————————————————————————————–

How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

———————————

About the course

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.

Edureka’s Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.

Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence.

Why learn Python?

It’s continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger.

It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license.

It has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that it is the ” Next Big Thing ” and a must for Professionals in the Data Analytics domain.

Who Should Go For This Course?

Programmers, Developers, Technical Leads, Architects
Developers aspiring to be a ‘Machine Learning Engineer’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
‘Python’ professionals who want to design automatic predictive models

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775

Source


[ad_2]

Comment List

  • edureka!
    December 31, 2020

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Data Science Masters Certification Curriculum, Visit our Website: http://bit.ly/37q65Oc

  • edureka!
    December 31, 2020

    Please share the data set link for this project my email address is – nmally780@gmail.com

    Thank you

  • edureka!
    December 31, 2020

    is there a project for visual recognition ??

  • edureka!
    December 31, 2020

    Please send data set.. i am planning to purchase course
    amartyapandey19@gmail.com

  • edureka!
    December 31, 2020

    Getting error in every single code

  • edureka!
    December 31, 2020

    hello
    can i get source code and data set also?

  • edureka!
    December 31, 2020

    I think a better metric would be precision for imbalanced dataset.

  • edureka!
    December 31, 2020

    Credit card ford data set plz send sir…… Mail-sandeepmane3038@gmail.com

  • edureka!
    December 31, 2020

    Plz send data… sandeepmane3038@gmail.com

  • edureka!
    December 31, 2020

    I am not getting the output after this command – sns.relplot(x="Amount", y="Time",hue="Class", data=data). What to do?

  • edureka!
    December 31, 2020

    Yes

  • edureka!
    December 31, 2020

    Copied from kaggle..

  • edureka!
    December 31, 2020

    Why r u checking the Accuracy when u r working in an imbalanced dataset and u r working with minority data?? and why didnt u normalise or upsample/downsample??

  • edureka!
    December 31, 2020

    Hello sir i really liked your video ❤️, can you please share the dataset and code to me on my email id – akshat21pareek@gmail.com

  • edureka!
    December 31, 2020

    Can you plz mention the dataset used in the videos link

  • edureka!
    December 31, 2020

    I can't believe how logistic model gets too much accuracy even without balancing the dataset.🧐

  • edureka!
    December 31, 2020

    have one doubt anyone plz
    reply

  • edureka!
    December 31, 2020

    Can you please share data set, so we can practice, what we learned

  • edureka!
    December 31, 2020

    This dataset is highly unbalanced …we can't simply fit it in our model…?if we predict all the transactions are legitimate then also we'll get accuracy more than 98…which is simply not correct.

  • edureka!
    December 31, 2020

    fraud=data.loc[data["class"]==1]
    when i write down this code error shown because of keyword class.sir what is the solution???

  • edureka!
    December 31, 2020

    https://jvz8.com/c/1508363/350329
    White Label Video Course That Teaches Your Clients How To Use The Websites!
    You can easily add your name and photo to these videos, branding yourself and adding credibility

  • edureka!
    December 31, 2020

    Where can we find the dataset

  • edureka!
    December 31, 2020

    This is an imbalanced dataset.
    So we must use Oversampling,Undersampling or RnndomOverSampler for model building.
    But I will prefer RandomOverSampler.

  • edureka!
    December 31, 2020

    Yes

  • edureka!
    December 31, 2020

    Hi, can you do one project of Gene Expression Data (specially of Cancer Prediction ). It will help me a lot in my project.
    @edureka! team

  • edureka!
    December 31, 2020

    Pls make a video on how to make a festival wishing websites

  • edureka!
    December 31, 2020

    Yes

Write a comment