Rana Singh's repositories
Applied_AI_O
Applied_AI_O persional
Time_series_forcasting
Time_series_forcasting
Music_generation_char-RNN
Music generation using Deep Learning
Semantic-Search-for-Q-A
Semantic Search for Q&A [Design + Code]
StatisticalModeling_Implement
StatisticalModeling
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
algorithmic_trading-
algorithmic_trading
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Application_screening_LSTM_adam
Task is to predict whether teachers' project proposals are accepted or rejected.
Ashrae-energy-prediction
Ashrae-energy-prediction
Blog-Flask
my first blog
Book
Read book
Employee_Attrition
Predicting Employee Attrition in the Dawn of Recession
Feature_engineering_Featuretools
Automated Feature Engineering using Featuretools
fine-grained-sentiment
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
LSTM-IMDB-NLP-
To determine whether a given moving review has a positive or negative sentiment
Object_detection
Cifr-datasets-for-object-reconigation: it is multiclass classification problem where detect object-class out of 10 class.
pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
SAS_Programming
Still Learning
Sequencing_model_coursera
- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis.
Speec_to_text
Using web-APIs in Python for ML
UnitPricePrediction_Hackthon
UnitPricePrediction_Hackthon