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What do Banks do with data? Case Study: Predicting the salary of a Bank Customer using Financial Data
Ever wondered what do Banks do with data? This is a case study on predicting the salary of a Bank Customer using Financial Data
Prateek Majumder 31 Dec, 2021
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Stock Market Analysis with Pandas – DataReader and Plotly for Beginners
In this article we will perform a Stock Market Analysis with Pandas and will also be using DataReader and Plotly for Beginners
AkshayDani 19 Oct, 2024
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Pokemon Prediction using Random Forest
In this blog, we will analyze Pokemon Prediction using Random Forest and understand whether the pokemon is legendary or not.
Aman Preet 29 Dec, 2021
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Deep Learning in Medical: Classification of Malaria Infected Blood Cells with ResNet
This article will discuss the classification of malaria-infected blood cells using a deep learning algorithm in the medical field, Resnet.
Muhammad 28 Dec, 2021
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Comprehensive Project on Building a Movie Recommender Website
In this article, we are going to start an end-to-end project where we will build a movie Recommender system using Machine learning
Abhishek Jaiswal 28 Dec, 2021
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ML Hyperparameter Optimization App using Streamlit
In this article, we will learn to build a Machine Learning Hyperparameter Optimization App using Streamlit in real-world effortlessly
Nandan 24 Dec, 2021
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A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!
In this blog, we will discuss the top trends of 2021 and predictions for 2022 in the data science industry.
Sakshi Raheja 15 Dec, 2021
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10 Most Popular Guest Authors on Analytics Vidhya in 2021
Our guest authors of 2021 AKA data science enthusiasts wrote numerous articles on our platform and added value to our community.
Sakshi Raheja 23 Dec, 2021
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Top 10 Articles Published in 2021 on Analytics Vidhya
We organize a ‘Blogathon’ where the writers submit their entries. Let's take a look at the top 10 articles of data science in 2021.
Sakshi Raheja 23 Dec, 2021
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Cryptocurrency Price Prediction using ARIMA Model
ARIMA Model (AutoRegressive Integrated Moving Average)has 3 parameters p, d, and q accounting for seasonality, trend, and noise in the dataset
Sion 23 Oct, 2024
