Foundations of User Experience (UX) Design

Supervised Machine Learning: Regression and Classification

Improving Deep Neural Networks Hyperparameter

Structuring Machine Learning Projects

Neural Networks and Deep Learning

Convolutional Neural Networks

TensorFlow for CNNs: Learn and Practice CNNs

Graphic design: pop your Linkedin with 3D effect using Canva

Bachelor's degree 

Freelance

Using DeepLearning algorithms for accurate fault prediction in Ball bearings in Induction motors using Vibration signals.
So far the following models are implemented:
1. ANN
2. 1D CNN
3. 2D CNN
4. 1D CNN + LSTM
5. 1D CNN + GRU
6. Manual Feature Extraction + ANN(for feature learning)
7. Parallel Feature Extraction + concatenation + SVM/ XGBoost/ Decision tree
8. Residual Network

Research Intern

Gathered a comprehensive dataset of plant leaf images consisting various plant leaves diseases. Implemented various preprocessing techniques such as data augmentation, normalization, and noise removal to enhance the quality and diversity of the dataset. Implemented convolutional neural networks (CNNs) or deep learning architectures. 
Was able to improve the accuracy of the model from 89.04% to 93%

Project Intern

Got an opportunity to work with a enthusiastic and goal-oriented team to give the users the best possible user experience by implementing minimalistic and well-thought out web designs.

Frontend Developer

Machine Learning Engineer | Full Stack Developer

github

Know about Muhammad Nameer Akhter's work experience, education, bootcamps, certifications, and much more. Muhammad Nameer Akhter