About Me.

Algorithms.

Algorithmic techniques and ideas for computational problems. Sorting and searching, divide and conquer, greedy algorithms, dynamic programming.

Data Scientist specialization

• intermediate Python: matplotlib, Dictionaries, Pandas, Logic ,Control flow and Filtering
• Data Science tools : Functions and Error handling, Iterators, List comprehensions, Generators
• Importing data in Python :API, requests module, http files, Flat files , Relational databases in python
• Data Preparation : Extraction and transformation , Indexing ,Reshaping , Aggregating data
• Relational database in SQL: Creating and merging relational databases, selecting , filtering , aggregating and sorting.
• Data Visualization : Matplotlib, Seaborn, Bokeh, Time Series, annotations,and interactions
• Statistics in Python :Bootstrap confidence interval, Hypothesis testing
• Data Processing with Shell : Manipulating data, Unix tools and Batch processing
• Supervised Learning with scikit-learn : Scikit-learn ,Classification ,Regression, Model-tuning, Pre-processing and Pipelines
• Unsupervised Learning in Python : SciPy, Clustering , t-SNE, Dimensionality reduction , Feature engineering
• Other courses include : Conda Essentials, Network Analysis in Python, Introduction to Deep Learning in Python