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Akshat Maheshwari

Akshat Maheshwari

Machine Learning Developer, Intern at OpenGenus | Integrated B. Tech and M. Tech student at ABV-Indian Institute of Information Technology and Management (2016 to 2021)

Gwalior, Madhya Pradesh, India •
11 posts •
Machine Learning (ML)

Performance metrics in Classification and Regression

In this post, we will look at different performance metrics for classification and regression. For regression, metrics are Mean absolute error, Mean squared error, R-Square and many more. For classification, the metrics are accuracy, precision, recall and many more.

Akshat Maheshwari Akshat Maheshwari
Software Engineering

Create a Web App using Flask to present a Machine Learning model

We will see how to deploy a Machine Learning model by building a simple Web Application using Flask. It will run the Machine Learning model in the server as inference.

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Image Captioning using Keras (in Python)

Image Captioning is the process of generating a textual description of an image based on the objects and actions in it. We have build a model using Keras library (Python) and trained it to make predictions.

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Exploratory Data Analysis using Python

In this article, we will see what Exploratory Data Analysis (EDA) is, what are the different steps in it, and further how to implement it using Python

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Image Recognition using Transfer Learning Approach

In this post, we will explore Transfer Learning and see what exactly it is and how it works along with a Python implementation for the image recognition tasks.

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

SMOTE for Imbalanced Dataset

In this post, we will see how to deal with an imbalanced dataset using SMOTE (Synthetic Minority Over-sampling TEchnique). We will also see its implementation in Python.

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Object Detection using Region-based Convolutional Neural Networks (R-CNN)

In this post, we will look at Region-based Convolutional Neural Networks (R-CNN) and how it used for object detection. We'll see why the R-CNN came into the picture when CNNs were already into existence.

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Text Preprocessing Techniques

In this post, we will look at a variety of text preprocessing techniques which are frequently used for a Natural language processing (NLP) task.

Akshat Maheshwari Akshat Maheshwari
Software Engineering

Use Series in Pandas

In this post, we will look at Series, which is present in the pandas library. It is popular among python users due to its vast functionality and usability.

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Face detection as done in 2001: Viola Jones Algorithm

Viola Jones algorithm is one face detection algorithm which was in use back in 2001 when such applications where not so cool

Akshat Maheshwari Akshat Maheshwari
Machine Learning (ML)

Ensemble methods in Machine Learning: Bagging, Boosting and Stacking

We will see what an ensemble method is, why they are trendy, and what are the different types of ensemble methods and how to implement these methods using scikit-learn and mlxtend in Python.

Akshat Maheshwari Akshat Maheshwari
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