Mohammed Saket

Student Ambassador at Intel
Jaipur
Frameworks:
Apache Hadoop
Tools & Libraries:
Pandas, matplotlib (Python), SciPy, scikit-learn
Education:
JECRC University
Profile
Skills
Experience
Projects
Publications
Education
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Language Activity
Technical Skills
Expertise
Android Development, Data Architecture
Frameworks
Apache Hadoop
Tools & Libraries
Pandas, matplotlib (Python), SciPy, scikit-learn, NumPy, NetworkX, NLTK, Seaborn, Jupyter Notebook (IPython)
Work Experience
Student Ambassador
Intel, home
Sep 2018 - Present (1 year and 2 months)
Projects
NSE stocks forecast using ARIMA Model
Nov 2018 - Nov 2018 (1 months)
Complete Engineering
Sep 2018 - Oct 2018 (2 months)
Publications
Face Detection and Facial Expression Taxonomy Using Machine Learning Methods and Convolutional Neural Network
Journal of Emerging Technologies and Innovative Research
22 Oct, 2018
In this research, we have used a combination of machine learning methods and convolutional methods to provide the taxonomy of facial expressions. Graphical Representation of the impact of each image pre-processing operation in the accuracy rate is presented. We have taken a dataset of five people for machine learning approach and dataset of 80 people for CNN based approach. The major focus of the facial expression recognition system is on five expression categories such as happiness, sadness, fear, anger, and disgust. The overall mean accuracy of Machine Learning based system is 91.21%. The overall mean accuracy of CNN based system is 98.89%
Education
JECRC University
Bachelor of Technology (B.Tech.), Computer Science
CGPA: 9.14 / None
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