Codein Academy
  • Duration 10 weeks
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  • Skill level All levels
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  • Pass parcentages 80
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1. Python basics 2. Numpy Numpy arrays Indexing and slicing on array Array operations 3. Pandas Data series Data frames […]

Data Science

1. Python basics

2. Numpy

  • Numpy arrays

  • Indexing and slicing on array

  • Array operations

3. Pandas

  • Data series

  • Data frames

  • Data cleaning

  • Data aggregation

  • Feature engineering

  • Time series data

  • Paralle processing

4. Visualization

  • Matplotlib

  • Seaborn

  • Geographical plots

5. Statistics

  • Descriptive statistics

  • Sampling

  • Frequency distributions

  • Mean, Mode, Median

  • Variance, Standard deviation, Bessel’s correction

  • Z-scores

6. Probability theory

  • Estimating probability

  • Addition rule

  • Permutation and combinations

  • Bayes Theorem

7. Hypothesis testing

8. Machine learning

  • Overview about supervised and unsupervised ML

  • Error metrics

  • Linear regression

  • Logestic regression

  • SVM

  • Decision tree

  • Random forest

  • K-nearest neighbors

9. Natural language processing

10. Neural networks and Deep learning

  • Neural Networks

  • Forward propagation

  • Activation functions

  • Loss functions

  • Back propagation

  • Tesorflow

  • Keras

11. Case studies

12. Clustering

  • K-means clustering

  • Mean-shift clustering

13. Case studies

14. Convolution neural networks

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