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Sana Temrikar NLP, Data Science, Machine learning, DL, BigData
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Hi Learners,
-I am a professional in Data Science, Machine Learning, Deep Learning, Data Analysis and Visualization. I have worked on multiple projects related to Computer Vision and Natural Language Processing.
-I am equipped with all the ML algorithms ranging from linear regression to Random Forests. Along with these ML algorithms, ensemble models such as XGBoost, AdaBoost, XGM, LightGBM, etc have paved a way to solve some of the complex problems. Also regarding deep learning for computer vision, I have worked on projects ranging from simple image classification to complex image captioning. Have also worked on chatbots using Deep Learning algorithms such as LSTM's and pre-trained models such as XLNet and BERT.
-I also have experience with object detection using YOLO V3 and Image Segmentation problems.
-So all in all, I am well versed in basic as well as advanced concepts of machine learning and deep learning along with various frameworks such as TensorFlow, Keras, and PyTorch.
Speaking about my teaching style, I think hands-on experience is what makes learning faster and my focus is mostly on hands-on learning and solving assignments.
I usually make use of the Feynman Learning Technique (Pretend you are teaching it to a student in grade 6) which helps students to understand and grasp the concepts faster rate.
Please feel free contact me if you have any queries or for demo lecture
Thanks Sana Temrikar,
-I am a professional in Data Science, Machine Learning, Deep Learning, Data Analysis and Visualization. I have worked on multiple projects related to Computer Vision and Natural Language Processing.
-I am equipped with all the ML algorithms ranging from linear regression to Random Forests. Along with these ML algorithms, ensemble models such as XGBoost, AdaBoost, XGM, LightGBM, etc have paved a way to solve some of the complex problems. Also regarding deep learning for computer vision, I have worked on projects ranging from simple image classification to complex image captioning. Have also worked on chatbots using Deep Learning algorithms such as LSTM's and pre-trained models such as XLNet and BERT.
-I also have experience with object detection using YOLO V3 and Image Segmentation problems.
-So all in all, I am well versed in basic as well as advanced concepts of machine learning and deep learning along with various frameworks such as TensorFlow, Keras, and PyTorch.
Speaking about my teaching style, I think hands-on experience is what makes learning faster and my focus is mostly on hands-on learning and solving assignments.
I usually make use of the Feynman Learning Technique (Pretend you are teaching it to a student in grade 6) which helps students to understand and grasp the concepts faster rate.
Please feel free contact me if you have any queries or for demo lecture
Thanks Sana Temrikar,
Subjects
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Machine Learning Beginner-Expert
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Apache Spark Beginner-Intermediate
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Natural Language Processing Beginner-Expert
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Deep learning with Python programming Beginner-Expert
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Statistical Machine Learning Beginner-Expert
Experience
No experience mentioned.
Education
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MTech Data Science (Jun, 2018–May, 2020) from MPSTME NMIMS
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BE Computer Science (May, 2013–May, 2017) from GRADUATION - MUMBAI UNIVERSITY - Mumbai, Maharashtra
Fee details
₹500–1,000/hour (US$5.99–11.98/hour)
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Jogeshwari West, Mumbai, Maharashtra 400047, India
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Can travel:
No
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- Last login: Sep 7, 2023
- Registered: Sep 10, 2020
- Total Teaching exp: 1.0 yrs.
- Teaches online: Yes
- Online Teaching exp: 1.0 yrs.
- Teaches at student's home: No
- Homework Help: Yes
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Gender: Female
- Works as: Individual teacher
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Fee:₹500–1,000/hour(USD 5.99–11.98/hour)
Reviews
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