sandipanpaul21/Dimensionality-Reduction-in-Python sandipanpaul21/Dimensionality-Reduction-in-Python

  • Stars
    star
    3
  • Rank 3,951,380 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created about 4 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
sandipanpaul21/Dimensionality-Reduction-in-Python
github

sandipanpaul21

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm

More Repositories

1

Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
Jupyter Notebook
96
star
2

Data-Science-Interview-Question-Bank-Day1-Day30-iNeuron

Data Science interview question by iNeuron
53
star
3

Logistic-regression-in-python

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value
Jupyter Notebook
12
star
4

Tree-Based-Models-in-Python

Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.
Jupyter Notebook
11
star
5

Machine-Learning-in-Python-Code

Machine Learning code in python includes topics like Exploratory Data Analysis (EDA), Classification, Regression, Clustering and Dimensionality Reduction
Jupyter Notebook
10
star
6

ML-Notes-Daywise

Machine Learning Note Day Wise (THEORY)
8
star
7

EDA-in-Python

Exploratory Data Analysis Theory and Python Code
Jupyter Notebook
4
star
8

SQL

Structured Query Language Theory, Case Study and Interview Questions
2
star
9

NLP-using-Python

Natural Language Processing in Python
Jupyter Notebook
2
star
10

Probability-Distributions-in-Machine-Learning

1
star
11

Neural-Network-in-Python

Jupyter Notebook
1
star
12

PARAMETRIC-TEST-Statistical-Experiment-and-Significance-Testing

Statistical Experiment and Significance Testing (Parametric Test)
1
star
13

Simple-Multiple-Regression-in-Python

Regression Techniques in Machine learning including topics from Assumption, Simple and Multiple Linear Regression. Both theory and python codes are included.
Jupyter Notebook
1
star