100 Days Data Science Bootcamp: Build 100 Real Life Projects
100 Days Data Science Bootcamp: Build 100 Real Life Projects
Real life case studies and projects to understand how things are done in the real world . Understand the full product workflow for the machine
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What you'll learn
- Conduct feature engineering on real world case studies.
- Make powerful analysis, Make robust Machine Learning models
- Make robust Machine Learning models, Master Machine Learning on Python
- Real life case studies and projects to understand how things are done in the real world
- Implement Machine Learning Algorithms
- Learn to perform Classification and Regression modelling
- Know which Machine Learning model to choose for each type of problem
- Understand the full product workflow for the machine learning lifecycle.
Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).
According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.
This makes Data Science a highly lucrative career choice. It is mainly due to the dearth of Data Scientists resulting in a huge income bubble.
Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics, and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.
