https://github.com/andreaschandra/free_data_science_courses

https://github.com/andreaschandra/free_data_science_courses

Last synced: 15 days ago
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• Host: GitHub
• URL: https://github.com/andreaschandra/free_data_science_courses
• Owner: andreaschandra
• License: gpl-3.0
• Created: 2021-02-06T03:20:34.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-06T15:35:17.000Z (over 3 years ago)
• Last Synced: 2024-05-01T16:40:22.692Z (7 months ago)
• Language: Jupyter Notebook
• Size: 1.98 MB
• Stars: 4
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# free_data_science_courses

By: Andreas Chandra

## Roadmap

### Fundamental

- Python for Data Science

- Data Manipulation using Pandas

- Data Visualization using Matplotlib and Seaborn

- Data Analysis and EDA Use Case 1

- Data Analysis and EDA Use Case 2

- Interactive Visualization using Dash / Plotly

- Introduction to Database Management System

- Basic SQL for Data Analysis

- Intermediate SQL for Data Analysis

- Advanced SQL for Data Analysis

- Big Data Analysis using BigQuery

### Practical Statistics for Data Scientist

- Introduction to Statistics

- Descriptive Statistics

- Data & Sampling Distributions

- Statistical Experiments & Significant Testing

### Data Encoding and Enrichment

- Label Encoder

- OneHot Encoder

- Feature Engineering

### Machine Learning Algorithms

- Regression

- Tree Approach

- Naive Bayes

- Support Vector Machine

- Ensemble Methods (Bagging, Boosting, Voting)

- K-Means

- Hierarchical Clustering

- DBSCAN

### Evaluation Metrics

- MAE

- MSE

- MSLE

- RMSE

- MAPE

- Confusion Matrix

- Accuracy

- Precision

- Recall

- F-Score

- ROC AUC

- Hamming Loss

- Silhouette score

- Elbow (Not sure)

### Deep Learning

- Introduction to Deep Learning

- Multilayer Perceptron

- Convolutional Neural Network

- Vanila RNN

- Gated Recurrent Unit

- Long Short Term Memory

- Optimization (Gradient Descent, Stochastic Gradient Descent, Adaptive Moment Estimation, etc)

- Loss Function (MSELoss, Binary Cross Entorpy, Cross Entropy)

### Computer Vision

- Computer Vision - Research and Applications

- Image Processing

- Image Classification

- Object Detection

- Popular Computer Vision Architecture

### Natural Language

- Natural Language Processing - Research and Applications

- Text Preprocessing (Cleansing, Tokenizing, Stemming, Lemmatizing, Spelling Correction)

- Feature Extraction (Term Frequency, TF-IDF)

- Feature Selection (Chi-Squared, Mutual Infomration)

- Text Representation (Embedding, Word2Vec, Glove, FastText, ELMo)

- Popular NLP Architecture

### Deep Learning Applciations

- Aerial Cactus Identification

- Dog Breed

- Natural Language Processing with Disaster Tweets

- Rainforest Connection Species Audio Detection

### Build Your Own Portfolios for Fresh Graduates to Get a Job