Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning

What youll learn:

✔ The course provides the entire toolbox you need to become a data scientist
✔ Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
✔ Impress interviewers by showing an understanding of the data science field
✔ Learn how to pre-process data
✔ Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
✔ Start coding in Python and learn how to use it for statistical analysis
✔ Perform linear and logistic regressions in Python
✔ Carry out cluster and factor analysis
✔ Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
✔ Apply your skills to real-life business cases
✔ Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
✔ Unfold the power of deep neural networks
✔ Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
✔ Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations

Note:
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