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I will do machine learning data science data analysis with python

Quality and customer satisfaction are critical to us.

I’m a scholar in Data Science and has worked as a Computer Scientist.

In terms of study, I’m interested in data analysis, statistics analysis, Excel, regression analysis , calculus, unsupervised analysis, deep learning.

I’ve worked on a number of real life project dealing with data science and analysis.

I’m ready to take on a new and daunting mission.

I’ve worked with the following innovations and topics:

Models Statistical (Naive Bays, Logistic Regression)

Object identification, facial recognition, classification, localisation, segmentation,are all examples of computer vision.

Natural language processing: Information Retrieval, Sentiment Analysis, Named Entity Recognition, Semantic text similarity, Language Model, Readability assessment
Model interpretation: Feature Extraction, Feature Selection.

Improving Model: Cross-Validation, Hyper Parameters Tunning

Model Deployment: Google Cloud, and Azure.

Languages: Python, R-studio,

Framework: Tensorflow, Keras, PyTorch, Android
Please get in touch with me before placing an order. The cost is determined by the difficulty of the problem and the level of accuracy anticipated.

Tagged : Visit Gig

Related Posts

do machine learning data science data analysis with python

Quality and customer satisfaction are critical to us.

I’m a scholar in Data Science and has worked as a Computer Scientist.

In terms of study, I’m interested in data analysis, statistics analysis, Excel, regression analysis , calculus, unsupervised analysis, deep learning.

I’ve worked on a number of real life project dealing with data science and analysis.

I’m ready to take on a new and daunting mission.

I’ve worked with the following innovations and topics:

Models Statistical (Naive Bays, Logistic Regression)

Object identification, facial recognition, classification, localisation, segmentation,are all examples of computer vision.

Natural language processing: Information Retrieval, Sentiment Analysis, Named Entity Recognition, Semantic text similarity, Language Model, Readability assessment
Model interpretation: Feature Extraction, Feature Selection.

Improving Model: Cross-Validation, Hyper Parameters Tunning

Model Deployment: Google Cloud, and Azure.

Languages: Python, R-studio,

Framework: Tensorflow, Keras, PyTorch, Android
Please get in touch with me before placing an order. The cost is determined by the difficulty of the problem and the level of accuracy anticipated.

Tagged : Visit Gig

Related Posts

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