- Average lower salary is about 75 K pa. We see 75% of the jobs positing has minimum salary =< than> - Average maximum salary is around 128K pa. We see 75% of the jobs positing has maximum salary =< than> - It looks like Python and SQL are the top skills in demand for Data Scientists, Data Engineers, analyst and Machine Learning Engineers. Excel is also a good skill to have for many of the jobs listed.

- From analysis of “Degree” and “Avg Salary(K)” column we get to know that highest salary will be given to PHD holders

- “California” state has with most number of jobs

- Company having size above 10,000 giving maximum ‘Avg Salary(K)

- Random Forest works best from other algorithms with less RMSE and High R-Squared

- From Dataset we get to know that all images having shape (256,256,3)
- Dataset contain 72318 images belonging 2 classes for training and 16813 images belonging 2 classes for testing
- For Training dataset, we get 90?curacy and on validation data 91?curacy for 5 epochs and for testing data 91% received by using CNN algorithm

Average lower salary is about 75 K pa. We see 75% of the jobs positing has minimum salary =< than 91K pa, so it doesnt look like the mean value is affected much by the outlier (15K or 202K pa). Average maximum salary is around 128K pa. We see 75% of the jobs positing has maximum salary =< than 155K pa, so it doesnt look like the mean value is affected much by the outlier (16K or 306K pa). It looks like Python and SQL are the top skills in demand for Data Scientists, Data Engineers, analyst and Machine Learning Engineers. Excel is also a good skill to have for many of the jobs listed. From analysis of Degree and Avg Salary(K) column we get to know that highest salary will be given to PHD holders California state has with most number of jobs Company having size above 10,000 giving maximum Avg Salary(K) Random Forest works best from other algorithms with less RMSE and High R-Squared

From Dataset we get to know that all images having shape (256,256,3) Dataset contain 72318 images belonging 2 classes for training and 16813 images belonging 2 classes for testing For Training dataset, we get 90% accuracy and on validation data 91% accuracy for 5 epochs and for testing data 91% received by using CNN algorithm