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$5 USD / Stunde
Flagge von PAKISTAN
dera ismail khan, pakistan
$5 USD / Stunde
Es ist derzeit 9:04 PM hier
Beigetreten am September 12, 2020
3 Empfehlungen

Muhammad Y.

@ItsYasirrr

 5,0 (48 Bewertungen)
5,3
5,3
97%
97%
$5 USD / Stunde
Flagge von PAKISTAN
dera ismail khan, pakistan
$5 USD / Stunde
100 %
Abgeschlossene Arbeiten
96 %
Budgetgerecht
97 %
Pünktlich
16 %
Wiedereinstellungsrate

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.
Freelancer Python Developers Pakistan
Alle Python Developers in Pakistan ansehen

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Portfolio

8642221
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
7493622
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
7233837
- 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
7233830
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
7233731
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
8642221
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
7493622
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
7233837
- 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
7233830
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
7233731
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

Bewertungen

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Zeigt 1 - 5 von 48 Bewertungen
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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
Avatar des Nutzers
Flagge von Priyam J.
@yoyopriyam
•
vor 2 Monaten
5,0
$500,00 AUD
Cvs, excel chat
great provider like to work with him
C Programming
Python
Machine Learning (ML)
C++ Programming
+1 mehr
B
Flagge von Nassim Aissa B.
@belba
•
vor 3 Monaten
5,0
$100,00 AUD
Text based chat
great professional always deliver what we agree upon
C Programming
Python
Machine Learning (ML)
C++ Programming
+1 mehr
B
Flagge von Nassim Aissa B.
@belba
•
vor 4 Monaten
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
+1 mehr
B
Flagge von Nassim Aissa B.
@belba
•
vor 5 Monaten
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
+1 mehr
B
Flagge von Nassim Aissa B.
@belba
•
vor 8 Monaten

Erfahrung

Quant Developer

Quant Data Solutions - Radix
Juni 2021 - Aktuell
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.

Research Assistant

CRC Lab, Bahria University Islamabad, Pakistan
Jan. 2019 - Juni 2021 (2 Jahre, 5 Monate)
Proving my services as a programmer for C and Python language for the indigenous development of Intrusion Detection System (IDS).

Programmer

Directorate IT, KPK
Apr. 2017 - Sept. 2017 (5 Monate, 1 Tag)
Android Programmer

Ausbildung

Masters in Computer Science

Bahria University, Pakistan 2018 - 2020
(2 Jahre)

Bachelors in Computer Science

Gomal University, Pakistan 2012 - 2016
(4 Jahre)

Qualifikationen

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

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

Neural Networks and Deep Learning

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

PCAP – Certified Associate in Python Programming

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.

Veröffentlichungen

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.

Kontaktieren Sie Muhammad Y. bezüglich Ihres Jobs

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Top-Fähigkeiten

Python 42
Machine Learning (ML) 31
C Programming 21
C++ Programming 21
Neural Networks 10

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