Intro

I work effectively and efficiently to fulfil organisational goals while developing one's knowledge and intelligence, Working in a demanding and rewarding workplace is essential to ensuring a high degree of job satisfaction. Along with helping my business, I'm eager to learn new things myself during this process. By the way, check out my awesome work.

I have a natural appetite and aptitude for solving complex business challenges and using critical thinking. "Destiny is not bestowed but in turn is created." If you would like to know more about me, please reach out to me. I'm passionate about learning new technologies and solving problems; I have an appetite for solving sudokus and Rubik's cubes.I love hiking with my dog, working my way through random travel plans, and experiencing adventure at its best. I go by the quote "body is a temple", hence I'm a fitness oriented personality. I too love making public speeches and writing scientific contents.(アニメが大好き)

Work

Building a Phishing Detection Model

Phishing attacks continue to be a prevalent threat to individuals and organizations, leading to compromised accounts, stolen sensitive information, and financial losses. Building an effective phishing detection model is crucial to mitigate these risks. This repository contains the code and resources to develop a phishing detection model using machine learning techniques. Check out my project, Building a Phishing Detection Model.

SARS-Genome

SARS-Genome ML Project! This study aims to examine and comprehend the genome sequencing of Severe Acute Respiratory Syndrome (SARS) viruses using machine learning techniques. This README file offers a description of the project, its goals, and how to efficiently use the offered code and resources. Check out my project, SARS-Genome.

Breast Cancer Detection using Breast Histopathology Images and CBIS DDSM Breast

Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. This project depends on two datasets: The first Dataset is cbis-ddsm-breast-cancer-image-dataset from. the second Dataset is breast-histopathology-images. Its been said to have 0.96 efficiency. Breast Cancer Detection using Breast Histopathology Images and CBIS DDSM Breast. Cancer Image Datase. Check out my project, Breast Cancer Detection using Breast Histopathology Images and CBIS DDSM Breast Cancer Image Datase.

Dogs vs Cats Redux

An algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. Your computer will find it a bit more difficult. Check out my project, Dogs vs Cat .

Tomato Disease Prediction

Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in quantity depending on how they are fertilized. Leaf disease is the primary factor impacting the amount and quality of crop yield. The Convolutional Neural Network (CNN) is used to effectively define and classify tomato diseases. Check out my project, Tomato Disease Prediction.

Potato Disease Prediction

Farmers who grow potatoes suffer from serious financial standpoint losses each year which cause several diseases that affect potato plants. The diseases Early Blight and Late Blight are the most frequent. Early blight is a caused by fungus and late blight is caused by specific micro organisms and if farmers detect this disease early and apply appropriate treatment then it can save a lot of waste and prevent economical loss. The Convolutional Neural Network (CNN) is used to effectively define and classify potato diseases. Check out my project, Tomato Disease Prediction.

Chat bot using Cornell Moviedialog Corpus

Naturally, frequency is considered first. But what about those phrases that are similar in meaning? For example, should thank you so much and thxbe treated independently? We don't think so. We want to group them and save our slots. How? We make use of a parallel corpus. Both thank you so much and thx are likely to be translated into the same text. Based on this assumption, we construct English synonym groups that share the same translation. Check out my project, Chat bot Cornell Moviedialog Corpus.

About

Machine Learning Engineer with 5 years experience in Computer Vision, Natural Language Processing, AI softwares. Proficient in machine learning and operationalization; adept at solving complex problems through data.

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i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';

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  • Sagittis adipiscing.
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  • Dolor pulvinar etiam.
  • Sagittis adipiscing.
  • Felis enim feugiat.

Ordered

  1. Dolor pulvinar etiam.
  2. Etiam vel felis viverra.
  3. Felis enim feugiat.
  4. Dolor pulvinar etiam.
  5. Etiam vel felis lorem.
  6. Felis enim et feugiat.

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Name Description Price
Item One Ante turpis integer aliquet porttitor. 29.99
Item Two Vis ac commodo adipiscing arcu aliquet. 19.99
Item Three Morbi faucibus arcu accumsan lorem. 29.99
Item Four Vitae integer tempus condimentum. 19.99
Item Five Ante turpis integer aliquet porttitor. 29.99
100.00

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Name Description Price
Item One Ante turpis integer aliquet porttitor. 29.99
Item Two Vis ac commodo adipiscing arcu aliquet. 19.99
Item Three Morbi faucibus arcu accumsan lorem. 29.99
Item Four Vitae integer tempus condimentum. 19.99
Item Five Ante turpis integer aliquet porttitor. 29.99
100.00

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