Asim S. Profile

探索

5.0

(1条评论)

您正在关注

关注用户错误。

该用户不允许他人关注他们。

您已经关注了这个用户。

您的会员计划仅允许0个关注。升级在此。

成功取消关注

取消关注用户错误

您已成功推荐

推荐用户错误。

出问题了，请刷新页面并重新尝试。

电子邮箱已成功验证。

$10 USD / 小时

rawalpindi,

pakistan

$10 USD / 小时

目前这里是10:51 下午

六月 7, 2015已加入

0 推荐

Asim S.

@asimsultan2

5.0

(1条评论)

2.6

100%

$10 USD / 小时

rawalpindi,

pakistan

$10 USD / 小时

100%

工作已完成

100%

在预算内

100%

按时

不适用

重复雇用率

Data Scientist

Having my experience in the data sciences and machine learning, I work in Natural language Processing whereby I work on the data to extract useful information and features from the text. I have worked on Social media posts and product reviews and have done sentiment analysis and polarity assessment on the text. I mainly develop NLP Text Classification Models using spacy, Google BERT model, and fastText. I have strong expertise in Numpy, pandas, sklearn, and regression models.

查看所有Python Developers在Pakistan

联系Asim S.询问您的工作详情

登录并通过聊天讨论所有细节。

文件夹

Implementation of Principal Component Analysis to find the nodes that carry most of the information from a high dimensional dataset. Making it readily available for the dataset to be used and needed as per the analytical solutions.

Evaluating-Covariance-matrices

The given project is to predict the classification score for the triplets in the given dataset with the highly imbalanced dataset. The project is developed to use SMOTE (Synthetic Minority Oversampling Technique) to deal with the current problem and to improve the precision and the recall score of the model which would be worst if the data is imbalanced with current values as: (0:262905), (1:558)

SMOTE-Analysis-for-Imbalanced-Datasets

Evaluating-Covariance-matrices

SMOTE-Analysis-for-Imbalanced-Datasets

变更已保存

展示1中的1-1条评论

筛选评论规则：

5.0

$200.00 USD

Help me make Facebook automated

Very professional

PHP

C Programming

Python

Software Architecture

C++ Programming

Eric Marlon D.

@edavis8055

•

6 年前

经验

Elite Technologies

6月 2017 - 现在

Being a Data Scientist, I mainly used to work in the development of the classifiers for the analysis of the text as well as categorical data. My main focus is on the production of the entire platforms for the automation of the real time data from websites and performing analysis and storing them in the database.

Lemay.ai

4月 2021 - 现在

Finding the features that led to the prediction of a machine learning model to be a NO and why would the model say NO by finding the respective weights for each feature. Millions of documents were passed through an unsupervised learning model to get the documents that are similar to each other and finding the relevancy between those clusters. Implementation of a Transformers model and finding the sentences from a corpus based on the given context. Post Training Quantization using Tensorflow-lite