Muhammad Y. Profile

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$5 USD / год.

dera ismail khan,

pakistan

$5 USD / год.

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На сайті з вересня 12, 2020

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Muhammad Y.

@ItsYasirrr

5,0

(48 відгуки(-ів))

5,3

97%

$5 USD / год.

dera ismail khan,

pakistan

$5 USD / год.

100%

Завершених робіт

96%

В межах бюджету

97%

Вчасно

16%

Рейтинг повторного найняття

Data Scientist | Machine Learning | Deep Learning

#Skills: > Image processing, Classification, Clustering, Segmentation, Localisation & Detection, OCR. > Time Series Analysis, Multi-Step Time series Analysis, RNNs/LSTMs. > Training and Mentoring, Data Visualisation, Learning Curves > ML Algorithms, ML Model Development, Deep Learning and Data/Text Mining, NLP > Video Analytics ( Anomalies detection, Video Classification & Labeling ) > Audio Analytics ( Speech Recognition, Speaker Diarization & ASR ) > Deploying ML models as web services & on edge devices as embedded models. #Core Libraries: > tensorflow-keras, pytorch, opencv, pyedflib, scikit-learn, PIL, matplotlib/seaborn, tesseract, numpy, pandas, etc.

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Портфоліо

This new deeplearning.ai TensorFlow Specialization taught how to use TensorFlow to implement such principles that can help you start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work.

Introduction to TensorFlow for Artificial Intelligence, Mach

1. How different types of initializations can lead to different results
2. Examine the importance of initialization in complex neural networks
3. Explain the difference between train/dev/test sets
4. Diagnose the bias and variance issues in your model
5. Assess the right time and place for using regularization methods such as dropout or L2 regularization
6. Explain Vanishing and Exploding gradients and how to deal with them
7. Use gradient checking to verify the accuracy of your backpropagation implementation

Improving Deep Neural Networks: Hyperparameter tuning

- Understand the major technology trends driving Deep Learning
- Be able to build, train and apply fully connected deep neural networks
- Know how to implement efficient (vectorized) neural networks
- Understand the key parameters in a neural network's architecture

Neural Networks and Deep Learning

The main goal of this Data Visualization with Python course was to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, I used several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.

Data Visualization in Python

The certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming.

PCAP – Certified Associate in Python Programming

Introduction to TensorFlow for Artificial Intelligence, Mach

Improving Deep Neural Networks: Hyperparameter tuning

Neural Networks and Deep Learning

Data Visualization in Python

PCAP – Certified Associate in Python Programming

Відгуки

Зміни збережені

Показано з 1 по 5 із 48 відгуків

Фільтрувати відгуки за:

5,0

$120,00 USD

Bug fixing in my existing software.

Smart and Fast worker. I will hire him again.

PHP

Mobile App Development

Android

Software Architecture

MySQL

Priyam J.

@yoyopriyam

•

2 months ago

5,0

$350,00 AUD

Cvs, excel chat

great provider like to work with him

C Programming

Python

Machine Learning (ML)

C++ Programming

+ ще 1

Nassim Aissa B.

@belba

•

2 months ago

5,0

$100,00 AUD

Text based chat

great professional always deliver what we agree upon

C Programming

Python

Machine Learning (ML)

C++ Programming

+ ще 1

Nassim Aissa B.

@belba

•

4 months ago

5,0

$100,00 AUD

Project for Muhammad Y. -- 2

great as always delivering o ntime and on budget

C Programming

Python

Machine Learning (ML)

C++ Programming

+ ще 1

Nassim Aissa B.

@belba

•

4 months ago

5,0

$60,00 AUD

Project for Muhammad Y.

great freelance, done it on time and budget

C Programming

Python

Machine Learning (ML)

C++ Programming

+ ще 1

Nassim Aissa B.

@belba

•

8 months ago

Досвід роботи

Quant Data Solutions - Radix

черв. 2021 - Цей час

I am working as a quant developer (C++/Python) and working on feature engineering to create alphas that help predicting stock prices for foreign markets. I am using C++ for feature writing and python is used for testing those features at hand.

CRC Lab, Bahria University Islamabad, Pakistan

січ. 2019 - черв. 2021 (2 years, 5 months)

Proving my services as a programmer for C and Python language for the indigenous development of Intrusion Detection System (IDS).

Directorate IT, KPK

квіт. 2017 - вер. 2017 (5 months, 1 day)

Android Programmer

Освіта

Masters in Computer Science

Bahria University,

Pakistan

2018 - 2020

(2 years)

Bachelors in Computer Science

Gomal University,

Pakistan

2012 - 2016

(4 years)

Кваліфікація

Coursera

2020

1. How different types of initializations can lead to different results 2. Examined the importance of initialization in complex neural networks 3. Diagnose the bias and variance issues in your model 4. Assess the right time and place for using regularization methods such as dropout or L2 regularization 5. Explain Vanishing and Exploding gradients and how to deal with them 6. Use gradient checking to verify the accuracy of your backpropagation implementation

Coursera

2020

- Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture

Pakistan Software Export Board

2020

The certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming.

Публікації

Classification and Detection of Glioblastoma Tumor from MRI Images

IEEE

The proposed approach uses Convolutional Neural Networks (CNNs) for classification and Region-based Convolutional Neural Networks (R-CNN) and Faster Region-based Convolutional Neural Networks (Faster R-CNN) to localize tumor regions in MRI images after classification into three types, i.e. Glioblastoma, Dendroglioma and Astrocytoma.

Habitat Mapping Using Deep Neural Networks

Springer

This research work presents a technique for accurate coral reef classification using deep convolutional neural networks. The proposed approach has been validated on Moorea Labeled Corals (MLC), an imbalanced dataset, which is a subset of Moorea Coral Reef Long Term Ecological Research (MCR LTER) packaged for computer vision research.