Published in Towards AI·Jan 31Member-onlyDeep Transfer Learning in Computer Vision: A Practical GuideStep-by-Step Approach and Tips for Building and Fine-Tuning Models using PyTorch — In this article, I will share my practical experience and insights gained from working on a computer vision project utilizing deep transfer learning. Through a step-by-step approach and useful tips, I aim to provide a comprehensive guide for building and fine-tuning a transfer learning model. From establishing a strong baseline…Data Science8 min readData Science8 min read
Published in Towards Data Science·May 25, 2021Member-onlyUnderstanding Loss Functions the Smart WayLearn how loss functions are used to understand your model’s performance and their implementation in regression and classification problems hands-on in Python. — In this article, we will be diving deep into the different types of loss functions used for improving a machine learning algorithm’s performance. The main motive of any classical machine learning problem is just these two things: Improve the accuracy of the model andMachine Learning8 min readMachine Learning8 min read
Published in Towards Data Science·Mar 19, 2021Member-onlyHDFS Simple Docker Installation Guide for Data Science WorkflowEasy step-by-step Installation and Usage of HDFS on your system using the Docker image. — In this small article, we would be discussing how to set up the Docker-based Hadoop distributed file system on your computer and will discuss a simple example to demonstrate the use-case. …Big Data5 min readBig Data5 min read
Published in Towards Data Science·Oct 30, 2020Member-onlyMeasure 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 — In this article, we are going to talk about the types of error measuring techniques when dealing with the time-series data and how you can choose the best model from the ones you have created earlier such as ETS or the ARIMA model, and find the best ones based on…Machine Learning3 min readMachine Learning3 min read
Published in Towards Data Science·Oct 6, 2020Member-onlyDASK: 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 — Introduction If you are dealing with a large amount of data and you are worried that Pandas’ data frame is unable to load it or NumPy arrays get stuck in between and you even need a much better and parallelized solution for your data processing and training machine learning models then…Big Data5 min readBig Data5 min read
Published in PreAI·Oct 2, 2020Member-onlyBeginner’s Guide to Normal DistributionUnderstanding the Science behind a Bell Curve! — A Normal Distribution is also called “Gaussian Distribution” or more commonly known as “Bell Curve” as the probability distribution function plot of a normal distribution looks very like 🔔 bell-shaped. A Normal Distribution is a univariate probability distribution, which means it is a distribution for only one random variable. Note…Machine Learning8 min readMachine Learning8 min read
Published in PreAI·Sep 30, 2020Member-onlyA 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! — Welcome! Are you ready with your cool machine learning model trained on millions of data points and now you want to test its performance but you don’t know where to start with or what could be a better way to do so? In this article, we would be discussing everything…Machine Learning12 min readMachine Learning12 min read
Published in PreAI·Sep 29, 2020Member-onlyQ-Q Plots Explained“Understanding the concept of Q-Q plots”. — In Statistics, Q-Q(quantile-quantile) plots play a very vital role to graphically analyze and compare two probability distributions by plotting their quantiles against each other. …Machine Learning6 min readMachine Learning6 min read
Published in PreAI·Sep 29, 2020Member-onlyHow to Build a Data Science Portfolio that can get you a Job?How to Make a Strong Portfolio that Speaks about you in your interviews! — There are people who are working hard day and night and still looking for a job and then landing with nothing in hand! This has been one of the most common questions by job applicants looking for a career in the field of Data Science and Machine Learning. How to…Machine Learning7 min readMachine Learning7 min read
Sep 25, 2020Member-onlyLet’s build and host a Website for Free in just 6 minutes on WordPress!I built my complete Blog website using this approach and it turns out to be really cool and all that for free. Learn how you can even do it! — I just made my own website for free and hosted it on WordPress for Free with my custom domain name and all the premium features. Want to know how I did it, follow along with me in this article and know how you can also make your own! Hey, If…Productivity6 min readProductivity6 min read
![Measures Performance for a Time Series Model [ETS or ARIMA]](https://miro.medium.com/v2/resize:fill:224:224/1*YRuguxwiKgPfAYCpm9qygg.jpeg)
![Measures Performance for a Time Series Model [ETS or ARIMA]](https://miro.medium.com/v2/resize:fill:160:112/1*YRuguxwiKgPfAYCpm9qygg.jpeg)
