excelrprelearning

  In this video, we would be learning about data science from basics using the real-time example on the Liverpool soccer team case study. you will understand the different stages through which any data science project goes through. Time straps : 1:05 Concept of Data Science 1:15 Liver Pool Football Example 1:50 Objective Analysis 2:10 Data Collection 2:35 Data Cleansing 3:17 Data Visualization 4:00 Final Conclusion Key takeaways from this 5 minutes of What is Data science 1.What is data science? 2.Importance of data 3.data collection 4.data cleaning / Preprocessing 5.data exploration and data visualization 6.Modelling --------------------- ✔ We can help you to create a successful career plan to take your career to new heights. ✔ Offering Job Oriented Most Latest, Updated, and advanced Courses with Practical, Hands-on Live Projects Training & Exposure. For More information: Call us at 1800-212-2120 Or visit at www.excelr.com There is a complete play

  In this video, you will learn about how to install anaconda navigator, launching Jupyter, a brief introduction to various Python libraries that includes NumPy, panda, sci-kit-learn, Seaborn, etc. You will also learn more about panda libraries, like adding data structure, tools to work with table-like data, and data modeling that includes - sorting, reshaping, merging, slicing, and aggregation. The advantage of using python is handling missing data. This program is an initiation for engineering students in partnership with state and government bodies, where they will not only learn from the basics to the advanced level but also a complete practical oriented hands-on training studded with assignments and projects. Enrolled students will work parallelly through assignments by learning industrial case studies, data analysis, and part of machine learning algorithms and various industrial applications. Click (👆), the link aside, and hit the bell icon to subscribe us: https://www.youtub