Our workshop is a demand-driven data science session that provides the entire toolbox of what you need to become a data scientist. Warm up your fingers as you will be eager to apply everything you have learned here to more real-life situations.Come and meet other budding python and data scientists who will build your synergies in this emerging field.
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.
The pre-process data
Machine Learning mathematics
Basic skills in Python coding
Using statistical analysis in data sciences
Perform linear and logistic regressions in Python
Cluster and factor analysis
Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
Google’s Tensor Flow- Deep Learning frameworks
Improve Machine Learning algorithms by studying underfitting, overfitting, training, and validation, n-fold cross validation, testing, and how hyperparameters could improve performance
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