SANDIPAN PAUL (@sandipanpaul21)
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sandipanpaul21

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  • Stars
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    206
  • Global Rank 120,473 (Top 5 %)
  • Followers 108
  • Following 4
  • Registered over 7 years ago
  • Most used languages
    Jupyter Notebook
         100.0 %
  • Location 🇮🇳 India
  • Country Total Rank 4,863
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    Jupyter Notebook
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Top 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
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2

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

Data Science interview question by iNeuron
53
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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
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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
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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
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6

ML-Notes-Daywise

Machine Learning Note Day Wise (THEORY)
8
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7

EDA-in-Python

Exploratory Data Analysis Theory and Python Code
Jupyter Notebook
4
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8

Dimensionality-Reduction-in-Python

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
Jupyter Notebook
3
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9

SQL

Structured Query Language Theory, Case Study and Interview Questions
2
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10

NLP-using-Python

Natural Language Processing in Python
Jupyter Notebook
2
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11

Probability-Distributions-in-Machine-Learning

1
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12

Neural-Network-in-Python

Jupyter Notebook
1
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13

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

Statistical Experiment and Significance Testing (Parametric Test)
1
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14

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
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