Paras VarshneyMy Interview Experience: Fidelity InvestmentsInterviewed for the position of Senior Data Scientist21h ago21h ago
Paras VarshneyinTowards AIDeep Transfer Learning in Computer Vision: A Practical GuideStep-by-Step Approach and Tips for Building and Fine-Tuning Models using PyTorchJan 31, 20231Jan 31, 20231
Paras VarshneyinTowards Data ScienceUnderstanding Loss Functions the Smart WayMay 25, 20211May 25, 20211
Paras VarshneyinTowards Data ScienceHDFS Simple Docker Installation Guide for Data Science WorkflowEasy step-by-step Installation and User Guide of HDFS on your system using the Docker image.Mar 19, 20214Mar 19, 20214
Paras VarshneyinTowards Data ScienceMeasures Performance for a Time Series Model [ETS or ARIMA]Interpreting measures of error for time series data and understand the performance of your model to choose the best one.Oct 30, 2020Oct 30, 2020
Paras VarshneyinTowards Data ScienceDASK: A Guide to Process Large Datasets using ParallelizationA simple solution for data analytics for big data parallelizing computation in Numpy, Pandas, and Scikit-Learn Frameworks.Oct 6, 20201Oct 6, 20201
Paras VarshneyinPreAIBeginner’s Guide to Normal DistributionUnderstanding the Science behind a Bell Curve!Oct 2, 20201Oct 2, 20201
Paras VarshneyinPreAIA Guide to Evaluate ML Model’s Performance in Python?A Practical Approach to Compute the Model’s Performance and Implementation in Python covering all Mathematical Reasonings. Explained!Sep 30, 2020Sep 30, 2020
Paras VarshneyinPreAIQ-Q Plots Explained“Understanding the concept of Q-Q plots”.Sep 29, 2020Sep 29, 2020
Paras VarshneyinPreAIHow to Build a Data Science Portfolio that can get you a Job?How to Make a Strong Portfolio that Speaks about you in your interview!Sep 29, 2020Sep 29, 2020
![Measures Performance for a Time Series Model [ETS or ARIMA]](https://miro.medium.com/v2/resize:fill:160:106/1*YRuguxwiKgPfAYCpm9qygg.jpeg)
![Measures Performance for a Time Series Model [ETS or ARIMA]](https://miro.medium.com/v2/resize:fill:320:214/1*YRuguxwiKgPfAYCpm9qygg.jpeg)
