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KEŞFEDİN
Data Science
Image Processing
Machine Learning (ML)
Python
Tensorflow
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Kullanıcı Avatarı
$35 USD / saat
 INDIA bayrağı
gujarat, india
$35 USD / saat
Şu anda burada saat 4:16 ÖÖ
Mayıs 13, 2020 tarihinde katıldı
0 Öneriler

Milankumar B.

@MilanPatel7932

 5,0 (6 değerlendirme)
3,2
3,2
100%
100%
$35 USD / saat
 INDIA bayrağı
gujarat, india
$35 USD / saat
%100
Tamamlanmış İş
%98
Bütçe Dahilinde
%84
Zamanında
%11
Tekrar İşe Alınma Oranı

Data Scietist

Welcome.! Great client satisfaction rate on data science projects. have been working as a Lead Data Scientist. I work with individuals, start-ups, SME/SMBs, academics, corporates, and non-profits. I would like to deliver great services few of them mentioned. * Machine Learning * Deep Learning/ computer vision/ image processing * Natural Language Processing * Tablue/sas/R * Data Collection and Web Scraping/crawling * Python/ Java/ C++/ HTML/ CSS /SQL/NOSQL *️ Tensorflow/Pytorch/Opencv/ Neural Network/.../ *️ Model BUilding from scratch to deployment Here’s what you will get by working with me: * Working only on projects that I can deliver 100% * Ridiculous quality of work * Smart suggestions on increasing results/revenue and decreasing costs * Responsibility for tasks/project I work on * Reliability *️ Short response time *️ Excellent written and verbal English skills *️ Good sense of humor ;) Usually, before starting work, I determine the complexity of each website and say the approximate time it will take. I would appreciate an opportunity to help you in resolving your particular issue and provide outstanding results and requirements to your current deadline. Thank you!
Freelancer Python Developers India
Python Developers freelancerlarından India içinden olanlarının tümünü görün.

Milankumar B. ile işiniz hakkında iletişime geçin

Detayları sohbet üzerinden tartışmak için giriş yapın.

Portföy

9230307
NLP project for individual clients on freelance platform.
Natural Language Processing
9230290
We created a model that could automated defect detection on hardware products using deep learning. During our hardware manufacturing processes, there could be damages such as scratches/cracks which make our products unusable for the next processes in the production line. It performs better with different deep learning models based on several criteria we have selected one of them. Our deep learning application detected defects milliseconds with human-level accuracy and better as well as interpreted the defect area in the image with heat maps and also appear on the big screen where humans could see it.
Deep Learning
9230279
Data Analysis has been done with the tool called Tableau. Give proper insight about data. Created report based on visualization. The dashboard has been helpful for understanding business insight.
Data Analytics
9230260
Machine Learning Model for unsupervised data. The client has huge amount of data in which you can find many dimension and rows. That's why we have used various dimensionality reduction technique to apply ml model. Data Handling Data Preprocessing and Transformation Dimensionality Reduction Techniques(PCA, LDA, others) Feature Engineering and Collection Model Development Increase Timing for prediction Model selection based on different Parameters(accuracy, processing time and storage)
Machine Learning
9230249
Implemented a website for a company. We have implemented with great client satisfaction rate. After that he also ready to connect artificial intelligence with the website.
Web Development
9230238
Implemented deep learning model that could Detection of cars in a parking lot with deep learning involves locating all objects of interest in a parking lot image and classifying the contents of all bounding boxes as cars. Deep Learning Process : 1- Image Collection 2- Image Augmentation 3- Image Preprocessing 4- Implemented different models along with transfer Learning 5- Compare Accuracy 6- Tested on Real time Object Detection
Deep Learning
9230307
NLP project for individual clients on freelance platform.
Natural Language Processing
9230290
We created a model that could automated defect detection on hardware products using deep learning. During our hardware manufacturing processes, there could be damages such as scratches/cracks which make our products unusable for the next processes in the production line. It performs better with different deep learning models based on several criteria we have selected one of them. Our deep learning application detected defects milliseconds with human-level accuracy and better as well as interpreted the defect area in the image with heat maps and also appear on the big screen where humans could see it.
Deep Learning
9230279
Data Analysis has been done with the tool called Tableau. Give proper insight about data. Created report based on visualization. The dashboard has been helpful for understanding business insight.
Data Analytics
9230260
Machine Learning Model for unsupervised data. The client has huge amount of data in which you can find many dimension and rows. That's why we have used various dimensionality reduction technique to apply ml model. Data Handling Data Preprocessing and Transformation Dimensionality Reduction Techniques(PCA, LDA, others) Feature Engineering and Collection Model Development Increase Timing for prediction Model selection based on different Parameters(accuracy, processing time and storage)
Machine Learning
9230249
Implemented a website for a company. We have implemented with great client satisfaction rate. After that he also ready to connect artificial intelligence with the website.
Web Development
9230238
Implemented deep learning model that could Detection of cars in a parking lot with deep learning involves locating all objects of interest in a parking lot image and classifying the contents of all bounding boxes as cars. Deep Learning Process : 1- Image Collection 2- Image Augmentation 3- Image Preprocessing 4- Implemented different models along with transfer Learning 5- Compare Accuracy 6- Tested on Real time Object Detection
Deep Learning

Değerlendirmeler

Değişiklikler kaydedildi
6 değerlendirme içinden 1 - 5 arasındakiler gösteriliyor
 Değerlendirmeleri filtreleme kriteri:
5,0
£250,00 GBP
PG final project - DIMENSIONALITY REDUCTION WITH HIGH DIMENTINAL DATA
Great work done by Milan and was very communicative during the process and also very kind and understanding person
Data Processing
Data Mining
Data Science
Data Analytics
Kullanıcı Avatarı
bayrağı Akshaya T.
@Akshay1026
•
3 yıl önce
5,0
$12,00 CAD
Project 30767184 has been deleted
good job as always...
K
Closed User
@kuditaofiq
•
3 yıl önce
5,0
£10,00 GBP
Guidance needed to solve an error while training style GAN 2 ADA
Very professional and helpful
Python
Machine Learning (ML)
Image Processing
Tensorflow
Keras
S
bayrağı Syeeda F.
@sabdahad
•
3 yıl önce
4,0
$20,00 AUD
Add a Bayesian Regression Model to an existing Machine Learning Workflow
Thanks very much Milan! Quality of work was very good. Next time we just need to communicate more on timelines expected and expectied final output. Good luck in the future!
Python
Machine Learning (ML)
J
bayrağı James S.
@jspencer12
•
3 yıl önce
5,0
₹2.500,00 INR
back propagational neural network
Highly professional and provide great service
Python
Machine Learning (ML)
Neural Networks
Tensorflow
Keras
Kullanıcı Avatarı
bayrağı Cyril J.
@CyrilJohn1328
•
3 yıl önce

Deneyim

Data Scintist

Fusion Informatics
Ağu 2016 - Şu anda
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met.

Eğitim

B.Tech (Computer Science)

Gujarat Technological University (GTU), India 2011 - 2015
(4 yıl)

Nitelikler

Natural language processing

Upgrade
2018
Study and transform data science prototypes Design NLP applications Select appropriate annotated datasets for Supervised Learning methods Use effective text representations to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Develop NLP systems according to requirements Train the developed model and run evaluation experiments Extend ML libraries and frameworks to apply in NLP tasks

MAchine Learning

Coursera
2018
Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field

Deep Learning

Coursera
2018
--> Exploring and visualizing data to gain an understanding of Data Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining the preprocessing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production

Milankumar B. ile işiniz hakkında iletişime geçin

Detayları sohbet üzerinden tartışmak için giriş yapın.

Doğrulamalar

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Kimlik Onaylı
Ödeme Onaylı
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E-posta Onaylı
Facebook Bağlantılı

Önde Gelen Beceriler

Python 6
Machine Learning (ML) 5
Data Science 3
Image Processing 2
Tensorflow 2

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