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Courses : Data Science

Data Science Duration: 30 Days

  Data Science Overview.
  Data gathering.
  Feature Engineering.
  Feature Selection.
  Create Model.
  Statistics and Probability.
  Mathematical Computing with Python (NumPy).
  Scientific computing with Python (Scipy).
  Data Manipulation with Pandas.
  Data Visualization in Python using matplotlib.
  Machine Learning with Scikit–Learn.
  Linear Regression.
  Logistics Regression.
  K-Nearest Neighbours (kNN).
  K-means.
  Naive Bayes.
  Random Forest.
  Hyperparameter Tuning.
  Feature Generation and Feature Selection (Extracting Meaning from Data).
  Decision Trees; Random Forests.
  Dimensionality Reduction, Singular Value Decomposition, Principal Component Analysis.
  Data Wrangling - Web Scraping with BeautifulSoup.

Capstone Project


Please Note: These above mentioned Course Contents are mentioned in brief. For more detailed info about contents, please visit our Institute