Pinned Repositories
Projects
Samsung-S5-Health
S5 and LG wrist watch - Gyro and Accelerometer readings
PowerBI-LogAnalytics-Template-Reports
The repository hosts Power BI template files that can be used to analyze Power BI data after you send it to Azure Log Analytics.
AI-102-AIEngineer
Lab files for AI-102 - AI Engineer
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
books
Books to read
DeployMachineLearningModel
Early-Fire-detection
Dynamic and Chromatic Analysis for Fire Detection and Alarm Raising Using Real-Time Video Analysis
Finding-an-Outlier-master
GRIDSearchCV
bimal2810's Repositories
bimal2810/PowerBI-LogAnalytics-Template-Reports
The repository hosts Power BI template files that can be used to analyze Power BI data after you send it to Azure Log Analytics.
bimal2810/Projects
bimal2810/AI-102-AIEngineer
Lab files for AI-102 - AI Engineer
bimal2810/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
bimal2810/DeployMachineLearningModel
bimal2810/Finding-an-Outlier-master
bimal2810/GRIDSearchCV
bimal2810/LazyRegressor-bimal
bimal2810/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
bimal2810/Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
bimal2810/Machine_learning_projects
Making predictions using logistic regression, naive Bayes, random forest, CNN, RNN and more
bimal2810/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
bimal2810/MachineLearningUsingPython
bimal2810/Microsoft_Certification_DP-100_Azure_Data_Scientist
Learning material for the DP-100 exam
bimal2810/ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
bimal2810/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
bimal2810/Modelling-Airbnb-Prices
Modelling Airbnb prices in London using different Machine Learning models (Random Forest, Gradient Boosting, Neural Network)
bimal2810/pandas
bimal2810/PowerBI-PowerShell
bimal2810/PowerShell
PowerShell functions and scripts (Azure, Active Directory, SCCM, SCSM, Exchange, O365, ...)
bimal2810/Python
bimal2810/Samsung-S5-Health
S5 and LG wrist watch - Gyro and Accelerometer readings
bimal2810/Seaborn
bimal2810/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
bimal2810/streamlit
Streamlit — The fastest way to build custom ML tools
bimal2810/Telecom-analysis
bimal2810/Term-2
Materials for term-2
bimal2810/textacy
NLP, before and after spaCy
bimal2810/Weather-Classification-using-Decision-Tree
In this notebook I will predict weather using Decision Tree.
bimal2810/Weather-Data-Clustering-Using-k-means
In this notebook, I will learn how to perform k-means lustering using scikit-learn in Python. I will use cluster analysis to generate a big picture model of the weather at a local station using a minute-graunlarity data. In this dataset, I have in the order of millions records. How do I create 12 clusters out of them? NOTE: The dataset that I will use is in a large CSV file called minute_weather.csv downloaded from: https://drive.google.com/open?id=0B8iiZ7pSaSFZb3ItQ1l4LWRMTjg