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How to use CatBoost For Mental Fatigue Score Prediction
Let's take a closer look at the details of each step in the implementation of CatBoost in Python for linear regression problems.
yogita 27 Apr, 2021
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LUX – Intelligence Visual Discovery of data using python
We can say that the lux library has some features which automate the whole visualization process in less time and effort.
Mayur 27 Apr, 2021
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Customer Lifetime Value using RFM Analysis
One of the simple and effective methodologies which are generally used in calculating customer value over a time frame is RFM Analysis
Manoj 27 Apr, 2021
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K Means Clustering in Python | Step-by-Step Tutorials for Clustering in Data Analysis
Explore K-Means clustering: Understand the algorithm, Python implementation,& how to choose optimal clusters using WCSS and the Elbow Method.
Pranshu Sharma 23 Dec, 2024
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How to check Stationarity of Data in Python
Stationarity of data is based on following 3 criteria - Have constant mean, Have constant variance, Auto covariance doesn't depend on time
Nishtha 19 Oct, 2024
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Guide to Data Visualization and Insights
This article helps in understanding the importance of data visualization and underlines few steps with which we can derive insights
Shruti 26 Apr, 2021
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Introduction Support Vector Machines (SVM) with Python Implementation
SVM (Support Vector Machine)is a supervised learning algorithm that can be used for both classification and regressions, soft margin svm.
Dishaa 09 Dec, 2024
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Logistic Regression in Python: Beginner’s Step by Step Guide
Logistic Regression in python is one of the most popular Machine Learning Algorithms, used in the case of predicting various categorical.
Pranshu Sharma 06 Feb, 2024
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Generate Your Own Dataset using GAN
GAN is an algorithmic architecture that consists of two neural networks, which are in competition with each other to generate new data
Syed Abdul Gaffar 07 Jan, 2025
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Q – Learning Algorithm with Step by Step Implementation using Python
Explore Q-learning, its algorithm, and applications in robotics. Learn how to train models and find shortest paths in a warehouse scenario.
Lakshmi 14 Jan, 2025
