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MACHINE LEARNING | PYTHON DEVELOPER Fascinated by computer science and want to be part of an exciting and continually developing industry.
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The-Complete-Python-Course-Learn-Python-by-Doing
May 25, 2021 – June 11, 2021
The-Complete-Python-Course-Learn-Python-by-Doing — GitHub repository
View ProjectDe-biasing-Facial-Recognition-Systems-
August 24, 2020 – September 21, 2020
Recent research has highlighted the vulnerabilities of modern machine learning based systems to bias, especially towards segments of society that are under-represented in training data. In this project, we develop a novel, tunable algorithm for mitigating the hidden, and potentially unknown, biases within training data. Our algorithm fuses the original learning task with a variational autoencoder to learn the latent structure within the dataset and then adaptively uses the learned latent distributions to re-weight the importance of certain data points while training. While our method is generalizable across various data modalities and learning tasks, in this work we use our algorithm to address the issue of racial and gender bias in facial detection systems. We evaluate our algorithm on the Pilot Parliaments Benchmark (PPB), a dataset specifically designed to evaluate biases in computer vision systems, and demonstrate increased overall performance as well as decreased categorical bias
View ProjectWine_Quality_Analysis
August 20, 2020 – August 20, 2020
The following notebook contains the steps enumerated below for analyzing characteristics of red and white variants of the Portuguese "Vinho Verde" wine. Quality is based on sensory scores (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent).
View ProjectClustering-Geo-location-DBSCAN
August 20, 2020 – August 20, 2020
lustering is one of the major data mining methods for knowledge discovery in large databases. It is the process of grouping large data sets according to their similarity. Cluster analysis is a major tool in many areas of engineering and scientific applications including data segmentation, discretization of continuous attributes, data reduction, outlier detection, noise filtering, pattern recognition and image processing
View ProjectIris_Dataset_Analysis
April 15, 2020 – May 6, 2020
This Dataset has five features which are Petal Length, Petal Width, Sepal Length, Sepal Width and Species Type.And analysis is done on the dataset.
View ProjectBreastcanceranalysis
March 28, 2020 – March 28, 2020
It creates machine learning model that predict whether the person will suffer from breast cancer or not.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning well with a Data Scientist role. The diversity of projects, from basic data analysis to more complex bias mitigation, suggests a proactive learning attitude. However, all projects are personal, and there's no information on collaborative work or professional experience.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate an ability to work on self-directed tasks.