Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Python Training not only focuses on fundamentals of Python, Statistics, Machine Learning and Spark but also helps one gain expertise on applied Data Science at scale using Python. Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, matplotlib, scikit, pyspark and master the concepts like Python machine learning, scripts, sequence, web scraping and big data analytics leveraging Apache Spark. During this Python training program, you will be able to:
- Write Python scripts, unit test code
- Programmatically download and analyze data
- Understand different types of Machine Learning problems and related data
- Learn data visualization
- Apply machine learning techniques and algorithms over data
- Ascertain accuracy of predictions using RMSE, Log Loss, AUC, Cross Validation
- Learn feature engineering techniques like PCA
- Learn techniques to deal with different types of data – ordinal, categorical, encoding
- Compare algorithms and improve accuracy
- Using IPython notebooks, master the art of presenting step by step data analysis.
It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. There is a booming demand for skilled data scientists and machine learning with Python professionals across all industries that make this course suited for participants at all levels of experience. The Python Training in Noida is appropriate for:
- Programmers, Developers, Technical Leads, Architects
- Business Analysts
- Data Scientists & Data Analyst
- Statisticians and Analysts
- Business Intelligence Manager
- Project Managers