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Aditya Dhapola
Aditya Dhapola

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Published in Analytics Vidhya

·Jun 10, 2021

Imbalance Classification

1 — Introduction Imbalance Classification: Imbalanced classification involves determining predictive models for datasets with a significant class imbalance. When working with imbalanced datasets, the difficulty is that most machine learning techniques will overlook the minority class, resulting in poor performance, despite the fact that performance on the minority class is often the most significant.

10 min read

Imbalance Classification
Imbalance Classification

10 min read


Published in Analytics Vidhya

·Jul 10, 2020

Activity Recognition from Single Chest-Mounted Accelerometer

The Activity Recognition from Single Chest-Mounted Accelerometer dataset mainly comprises of uncalibrated accelerometer data mounted on 15 respondents(users). The experiment basically analyses 7 activities performed by each respondent. The dataset can be downloaded from https://archive.ics.uci.edu/ml/datasets/Activity+Recognition+from+Single+Chest-Mounted+Accelerometer. …

Activity Recognition

9 min read

Activity Recognition from Single Chest-Mounted Accelerometer
Activity Recognition from Single Chest-Mounted Accelerometer
Activity Recognition

9 min read


Published in Analytics Vidhya

·Jul 9, 2020

Sentiment Analysis

Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer’s attitude towards a particular topic, product, etc. is positive, negative, or neutral. Basically, it is the interpretation and classification of emotions. Sentiment analysis aims at…

Sentiment Analysis

5 min read

Sentiment Analysis
Sentiment Analysis
Sentiment Analysis

5 min read


Published in Analytics Vidhya

·Nov 7, 2019

Facial Recognition using OpenCV (Python)

OpenCV: OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning library. This was built to give a common structure for computer vision applications and to influence the use of machine interpretation in the commercial products like facial recognition which is extensively use in today’s world…

Machine Learning

5 min read

Facial Recognition using OpenCV (Python)
Facial Recognition using OpenCV (Python)
Machine Learning

5 min read


Published in Analytics Vidhya

·May 15, 2019

Voice Recognition To Perform Tasks Done On Daily Basis

Speech Recognition : Speech recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable format. Rudimentary speech recognition software has a limited vocabulary of words and phrases, and it may only identify these if they are spoken very clearly Today…

Artificial Intelligence

6 min read

Voice Recognition To Perform Tasks Done On Daily Basis
Voice Recognition To Perform Tasks Done On Daily Basis
Artificial Intelligence

6 min read


Published in Analytics Vidhya

·May 11, 2019

TF-IDF On Hindi language

What is TF-IDF ? tf-idf stands for Term frequency-inverse document frequency. The tf-idf weight is a weight often used in information retrieval and text mining. Variations of the tf-idf weighting scheme are often used by search engines in scoring and ranking a document’s relevance given a query. This weight is…

Data Science

4 min read

TF - IDF On Hindi language
TF - IDF On Hindi language
Data Science

4 min read

Aditya Dhapola

Aditya Dhapola

13 Followers

LinkedIn : https://www.linkedin.com/in/aditya-dhapola-b8761615b

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