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Category: Developers Corner

Developers Corner
Victor Dey

A Beginner’s Guide To TensorFlow

TensorFlow allows developers to create dataflow graphs, which are structures that describe how the data moves through a graph, or a series of processing nodes present.

Developers Corner
Yugesh Verma

Hands-On Tutorial on ElasticNet Regression

Elastic Net is a regularized regression model that combines l1 and l2 penalties, i.e., lasso and ridge regression. regularization helps in overfitting problems of the models.

Developers Corner
Vijaysinh Lendave

Complete Tutorial on Text Preprocessing in NLP

In any data science project life cycle, cleaning and preprocessing data is the most important performance aspect. Say if you are dealing with unstructured text data, which is complex among all the data, and you carried the same for modeling two things will happen. Either you come up with a big error, or your model will not perform as you expected.

Developers Corner
Victor Dey

Creating a Market Trading Bot Using Open AI Gym Anytrading

AnyTrading is an Open Source collection of OpenAI Gym environments for reinforcement learning-based trading algorithms. AnyTrading aims to provide Gym environments to improve upon and facilitate the procedure of developing and testing Reinforcement Learning based algorithms in the area of Market Trading.

Developers Corner
Victor Dey

Exploring DataPrep: A Python Library For Data Preparation & EDA

DataPrep is an open-source library available for python that lets you prepare your data using a single library with only a few lines of code. DataPrep can be used to address multiple data-related problems, and the library provides numerous features through which every problem can be solved and taken care of.

Developers Corner
Vijaysinh Lendave

Hands-On Guide To Algorithm Configuration Using SMAC

Many algorithms belong to the family of tree and ensemble, which are hard for computational problems and exposed to many hyperparameters that can be modified to improve the performance.  However, manually exploring those parameters and setting those for optimized solutions is a rigorous task and often leads to unsatisfactory results.

Developers Corner
Victor Dey

Creating Deep Learning Models For Tabular Data using RTDL

RTDL (Revisiting Tabular Deep Learning) is an open-source  Python package based on implementing the paper “Revisiting Deep Learning Models for Tabular Data”. The library leverages the ease of creating a Deep Learning Model and can be used by practitioners and programmers looking to implement Deep Learning models in tabular data.

Developers Corner
Vijaysinh Lendave

Complete Guide To LightGBM Boosting Algorithm in Python

Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm. It has quite effective implementations such as XGBoost as many optimization techniques are adopted from this algorithm. However, the efficiency and scalability are still unsatisfactory when there are more features in the data.