Hii, I am Anjali Singhal !!!

Data Science & Machine Learning Enthusiast

I want to make a difference and work hard for a skillful career. I want to learn, create and explore more to improve my tech skills and work with different organizations in order to accept different challenges.

🔭 I am exploring in field of Machine Learning and Artificial Intelligence and have done various projects in different sub-domains of ML & AI.
🌱 I have keen interest in Data Science, Data Analytics, Finance and Economics.
👯 I wish to expand my skillset and explore new opportunities.

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Anjali Singhal's Projects

algo-scriptml

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

color-in-astronomy

Here, I created color diagrams using python and used these diagrams to distinguish between different types of objects such as temperature of stars from their B-V. Also, I analyzed deeply about Blackbody Energy Distribution Curve, Wein's Displacement Law and its application, and hence calculation of average temperature of sun and polar star.

deep-neural-network

Learn to build a Deep Neural Network from scratch!

fake-news-detection-model

Fake news detection is the task of detecting forms of news consisting of deliberate disinformation or hoaxes spread via traditional news media. Here, I tried different models of ML to detect fake news from the different data sets and tried to find the best model among them to identify the news to be fake or real and also plotted the graph for it.

hackon_with_amazon-aquite

We made a web application to detect fake products of different brands by YoloV3 Model using Deep Learning and Computer Vision.

hate-speech-detection

Hate Speech Detection is the automated task of detecting if a piece of text contains hate speech. Here, I tried different models of ML to detect hate speech in data taken from different tweets, and tried to find the best model among them by plotting the graph for the same.

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