Data Science Duniya

Blockchain Vs. Data Science: What You Need to Know [A Complete Guide]

March 1, 2021 Guest Author

What is popular between blockchain and big data/data science? A few aspects that quickly struck our minds are that they are both of the best new technologies. Both have the ability to revolutionize the way industry works, and both provide promising career prospects. Blockchain encompasses many of the lucrative coins like BTC, Etherium, free xlm, etc.

Although data science is a comparatively well-established technique, blockchain is at a developing level. Let us explain more about each of them in order to evaluate them better.

A Step by Step Guide to Implement Decision Tree using Python | Machine Learning

March 1, 2021 Ashutosh Tripathi

In this we will learn from scratch how to implement decision tree using python. We will solve one classification problem and build the model from scratch. Following are the points we will be covering in this post:
Exploratory Data Analysis – EDA
Data Visualization
Data Pre-processing
Data Spliting- Stratified Sampling
Oversampling – SMOTE
Model Training
Fine Tuning
Hyper parameter Tuning

Machine Learning Interview Questions and Answers | part 1

February 28, 2021 Ashutosh Tripathi

ML FAQ Part 1
What is ROC-AUC curve and how to interpret it?
Explain Type I and Type II errors.
What is Precision and Recall?
What is F1 score?
What is the difference between r-square and adjusted r-square values?

Machine Learning Interview questions and answers part 2 | ML Faq

February 23, 2021 Ashutosh Tripathi

This post is part 2 in the series of frequently asked Machine Learning Interview Questions and Answers. Machine Learning Frequently asked Interview Questions and Answers Part 2

1. What is Feature Scaling and why and where it is needed?
2. Normalization vs Standardization
3. What is the bias-variance trade-off?
4. Define the Overfitting problem and why it occurs?
5. What are the methods to avoid Overfitting in ML?

How to deploy machine learning models as a microservice using fastapi

February 15, 2021 Ashutosh Tripathi

As of today, FastAPI is the most popular web framework for building microservices with python 3.6+ versions. By deploying machine learning models as microservice-based architecture, we make code components re-usable, highly maintained, ease of testing, and of-course the quick response time. FastAPI is built over ASGI (Asynchronous Server Gateway Interface) instead of flask’s WSGI (Web Server Gateway Interface). This is the reason it is faster as compared to flask-based APIs.

« 1 2 3 4 5 … 13 »