Hey
I am Haidi
ML Engineer / Software Engineer
Let me introduce myself
Since i graduated as a software engineer i was deeply involved into Data-Driven projects, which led me to learn everything i could about Machine Learning, Deep Learning and how they get implemented in production environment.
Working on real world problems using Data helped me to shape my analytical thinking but also pushed me to interact with other players from the business side and articulate my toughts more clearly.
Recently Done Project
Machine Learning and Deep learning Projects
Amazon Fine Food
Reviews
Reviews include product and user information, ratings, and a plain text review.
The task will be to determine if a review is positive or negative and build
an ML model around it.
click on the notebook link
Quora Question Pair
Similarity Problem
The goal of this DataSet is to predict which of the provided pairs of questions contain two questions with the same meaning.
Doing so will make it easier to find high quality answers to questions.
click on the notebook link
Personalized Cancer Diagnosis
Once sequenced, a cancer tumor can have thousands of genetic mutations. Our goal is to distinguish the mutations that contribute to tumor growth from the neutral mutations. We will develop algorithms to classify genetic mutations based on clinical evidence (text).
click on the notebook link
Taxi Demand Prediction
We will build a model that predicts the total ride duration of taxi trips in New York City. The dataset is released by the NYC Taxi and Limousine Commission, which includes pickup time, geo-coordinates, number of passengers, and several other variables.
click on the notebook link
Stackoverflow Tag Predictor
The task is to predict the tags (a.k.a. keywords, topics, summaries), given only the question text and its title. The dataset contains content from disparate stack exchange sites, containing a mix of both technical and non-technical questions.
click on the notebook link
Microsoft Malware Detection
The goal of is to predict a Windows machine’s probability of getting infected by various families of malware, based on different properties of that machine.
The telemetry data was generated by combining heartbeat and threat reports collected by Windows Defender.
click on the notebook link
Amazon discovery Engine
In this project we are going to build recommendation model for the electronics products of Amazon.
click on the notebook link
Netflix recommandation
Netflix held the Netflix Prize open competition for the best algorithm to predict user ratings for films.
The goal is to build a recommander system using the dataset that was used in that competition.
click on the notebook link