Data science is an immense field. It can go from placing salsa near chips in a local shop to Mars rover! I will share a few project ideas that will enable you to do more realistic projects best suited for the current technology and business scenario.

Data scientists often do academic/hobby projects on clean, structured data with a straightforward approach. While I agree that it’s best to start with simple datasets, These projects are nowhere related to the real-world scenario, and often we struggle with getting a job with these projects. The companies will look for a more suited candidate for their business than what tools and technologies you worked with. If you can do a more realistic project with the help of tools and languages, then your project story will be in line with the real-world data scenario! …

“Learn from the mistakes of others. You can’t live long enough to make them all yourself.”― Eleanor Roosevelt.

According to the source, Some of the most popular job search engine sites are;

Based on the study, LinkedIn has over 760 million users, with more than 260 million monthly active users. With more than 20 million companies listed on the site and 20 million open jobs, it’s no surprise to find out that 87% of recruiters regularly use LinkedIn. LinkedIn is dominating along with Indeed, which has more than 250 million unique visitors every month.

But, Are these the only platforms to get the job done? Probably, not. Since the number of active users…

The very naive way of evaluating a model is by considering the R-Squared value. Suppose if I get an R-Squared of 95%, is that good enough? Through this blog, Let us try and understand the ways to evaluate your regression model.

Evaluation metrics;

  1. Mean/Median of prediction
  2. Standard Deviation of prediction
  3. Range of prediction
  4. Coefficient of Determination (R2)
  5. Relative Standard Deviation/Coefficient of Variation (RSD)
  6. Relative Squared Error (RSE)
  7. Mean Absolute Error (MAE)
  8. Relative Absolute Error (RAE)
  9. Mean Squared Error (MSE)
  10. Root Mean Squared Error on Prediction (RMSE/RMSEP)
  11. Normalized Root Mean Squared Error (Norm RMSEP)
  12. Relative Root Mean Squared Error (RRMSEP)

Let us consider an example of predicting Active Pharmaceutical Ingredients (API) concentration in a tablet. Using absorbance units from NIR spectroscopy we predict the API level in the tablet. The API concentration in a tablet can be 0.0, 0.1, 0.3, 0.5, 1.0…

The code documentation is essential in every project. Code documentation can be split into multiple parts. The first one is comment blocks, most helpful for programmers; These will be found through every file explaining classes, methods, parameters, possible errors. Then comes the file documentations. These are usually generated through a script that will parse a file and, based on the description in the docstrings, will create an explicit PDF. Afterwards, there should be information about the location of the code repository; additionally, there should be detailed instructions on how to run the project.

In this article, We will look into…

I would like to explain the entire procedure of doing a master’s in the USA. It’s from the perspective of an Indian student. (Wrote on Jan 2019)


The entire process takes one year. It’s a matter of enormous money and time. Be sure about doing this. I would like to give rough figures for the amount you spend.


CONSULTANCY (Optional) = 25,000

GRE= 13,000 ($205)

TOEFL / ILTES = 11,500 ($180)

APPLYING FOR UNIVERSITY = 30,000 (6,000 rs X 5 universities)


DEPOSITION FEES = 1,00,000 (varies)


Recent advancements in the field of AI have given rise to the integration of NIR sensor data and machine learning techniques to achieve the results. In this article, The NIR sensor is interfaced with a PC and the samples were scanned. We performed ten scans per sample with ten seconds scan time to reduce the errors and include all the parts of the sample. In our case, the scan results were scattered and, we had outliers due to change in the light, working distance, and human errors during the scanning. …

Shravankumar Hiregoudar

Slalom | Rutgers Graduate

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