Machine Learning With Python
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- Machine Learning With Python - Discussion
- Machine Learning with Python - Resources
- Machine Learning With Python - Quick Guide
- Improving Performance of ML Model (Contd…)
- Improving Performance of ML Models
- Automatic Workflows
- Performance Metrics
- Finding Nearest Neighbors
- Hierarchical Clustering
- Mean Shift Algorithm
- K-means Algorithm
- Overview
- Linear Regression
- Random Forest
- Random Forest
- Naïve Bayes
- Decision Tree
- Support Vector Machine (SVM)
- Logistic Regression
- Introduction
- Data Feature Selection
- Preparing Data
- Understanding Data with Visualization
- Understanding Data with Statistics
- Data Loading for ML Projects
- Methods for Machine Learning
- Python Ecosystem
- Basics
- Home
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- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Machine Learning With Python - Discussion
Discuss Machine Learning With Python
Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelpgence that extract patterns out of raw data by using an algorithm or method. The key focus of ML is to allow computer systems to learn from experience without being exppcitly programmed or human intervention.
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