During this course i was provided with a comprehensive understanding of TensorFlow concepts and a solid foundation in AI programming for building neural networks.
Hello, I'm
Abel Nsukwini
A Software Programmer From Zimbabwe
I’m invested in cloud computing and machine learning, and I’m very passionate and dedicated to my work.
Tensorflow
Ability to create and training simple models like feedforward networks and convolutional neural networks (CNNs) using TensorFlow.
Python
Solid foundation in Python programming for machine learning tasks and proficient in Python for data analysis, model building, and evaluation.
Scikit-learn
i have a solid understanding of core scikit-learn functionalities and have a grasp of fundamental tasks like data preprocessing, model selection, training, and evaluation.
Numpy
Comfortable using NumPy to pre-process and prepare data for machine learning models. Also familiar with integrating NumPy with other data science libraries like Pandas and scikit-learn.
Pandas
Comfortable in data manipulation and analysis using Pandas DataFrames and Series.
Matplotlib
Able to effectively communicate data insights through visualizations using Matplotlib
Seaborn
Comfortable in building advanced statistical plots like violin plots, heatmaps, and pairplots for data exploration and model analysis.
Linux Commands
Comfortable navigating and manipulating files and directories using Linux commands
Portfolio
My Amazing Works
Here are some of my projects i have done ,you can view github code link and blogpost by hovering over the items.
Time Series Forecasting
Building a model to predict the price of bitcoin
Financial Inclusion in Africa
Predicting who in Africa is most likely to have a bank account
Flower Classification
Vgg 16 transfer learning model to classify flower images
Skimlit-NLP
Replicating the deep learning skim-lit model behind the 2017 paper PubMed 200k RCT.
Food Vision using CNN
Classifying 101 classes ,the target to beat being a 2016 deepfood paper
Disaster or Not Disaster
Sentiment analysis for disaster tweet classification
Certification
Certificates Acquired
I’m still learning a lot, and it’s been enjoyable to use a variety of courses to increase my knowledge. For a complete list of courses taken download my CV on home page .
Mathematics for Machine Learning:Linear Algebra
Coursera
This course was designed to provide a foundational understanding of linear algebra concepts that are relevant to machine learning and data science.
AI Programming with Python Nanodegree
Udacity
This nanodegree provides an introduction to the foundations of AI programming using Python. The course covers topics such as Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra
Mathematics for Machine Learning: Multivariate Calculus
Coursera
This course helped me gain an intuitive understanding of multivariate calculus concepts that have helped me bridge the gap into multivariate calculus problems and apply these concepts to machine learning .
Contact Me
I Want To Hear From You
Please fill out the form on this section to contact with me.
Address
13495 Cowdray Park, Bulawayo, Zimbabwe
nsukwiniabel@gmail.com
© 2023. Developed by Abel Nsukwini