rttrif/TrifonovRS.portfolio_v2.github.io

The portfolio presents projects carried out in the process of mastering and developing the basic skills of preparing and analyzing data, building and deploying machine and deep learning models.

💼 Data Science Portfolio

The portfolio presents projects carried out in the process of mastering and developing the basic skills of preparing and analyzing data, building and deploying machine and deep learning models.

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Section 1: Data Preprocessing

Data Wrangling

Tabular data

Project 1

Project 2

Project 3

Image data

Project 4

Project 5

Project 6

Text data

Project 7

Project 8

Project 9

SQL

Project 10

Project 11

Project 12

Exploratory Data Analysis

Project 13

Project 14

Project 15

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Section 2: Supervised learning

Classification

Project 16

Project 17

Project 18

Regression

Project 19

Project 20

Project 21

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Section 3: Unsupervised Learning

Clustering

Project 22

Project 23

Project 24

Dimensionality reduction

Project 25

Project 26

Project 27

Anomaly detection

Project 28

Project 29

Project 30

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Section 4: Reinforcement Learning

Project 31

Project 32

Project 33

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Section 5: Deep Learning

Artificial neural network

Project 34

Project 35

Project 36

Convolutional neural network

Project 37

Project 38

Project 39

Recurrent neural network

Project 40

Project 41

Project 42

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Section 6: Deployment

REST API

Project 43 [Flask]

Project 44 [Django]

Project 45 [Streamlit]

Docker

Project 46

Project 47

Project 48

Kubernetis

Project 49

Project 50

Project 51

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Previous portfolio version.

Portfolio version 1