mvidiera

AritficialNeuralNetwork

BeautifulSoup

CNNwithFC

Convolutional neural network using fully connected layer at the end

CompleteEDA

DataStructures

DeepLearning

DL-BiDirectionalLSTM-FakenewsClassifier

DL-CNN

DL-ImageClassification-SVM

PureCNN

How to build pure CNN without any Fully connected layers. Testing accuracy against FC. Dataset used: MNIST dataset

mvidiera/PureCNN

How to build pure CNN without any Fully connected layers. Testing accuracy against FC. Dataset used: MNIST dataset

mvidiera/AritficialNeuralNetwork

mvidiera/BeautifulSoup

mvidiera/CNNwithFC

Convolutional neural network using fully connected layer at the end

mvidiera/DL-CNN

mvidiera/DL-RNN

mvidiera/Docker-Flask

mvidiera/DockerImplemetation

Docker implementation on currency authentication using Flask App

mvidiera/FeatureExtracting-Rake

mvidiera/generativeAI

mvidiera/InceptionV3

Inception V3 is CNN used to classify image. pre trained with Imagenet dataset which has 1000 classes. Pictures of my dogs have been used to predict the model and they are classified correctly.

mvidiera/LangchainBasics

mvidiera/LLMConversationalBot

This is conversational bot which remembers the data which was provided in initial conversations throughout the end of session.

mvidiera/LLMDeployement-using-Langchain

mvidiera/MachineLearningProject

mvidiera/ML-DimensionalityReduction-LDA

mvidiera/ML-DimensionalityReduction-PCA

mvidiera/ML-DimesnsionalityReduction-KernelPCA

mvidiera/MLpipeline-sklearn-GridSearchCV

Creating ML pipeline using Sklearn which involves scaling, dimensionality reduction and using multiple classification algorithm to find best one. Hyper parameter tuning using GridSearch CV(sklearn package) to get the best model.

mvidiera/MLproject

mvidiera/NLP

mvidiera/PineconeVectorDB

Pinecone is Vector Database which stores the embeddings vectors. These are used for semantic searches. Low latency and high performing.

mvidiera/PythonII

mvidiera/PythonPackage

mvidiera/RobustRegressors

Classic regression algorithms can not handle outliers. Robust regression algorithms like Huber, RANSAC, Theil Sen algorithms are used to solve regression problems for the Data with outliers .

mvidiera/SklearnMLPiplelines

Creating Machine learning pipelines using Sklearn.

mvidiera/StreamLit

Library used to create web apps easily.

mvidiera/TimeSeries-ARIMA-SARIMA

Forecasting time series dataset using ARIMA and SARIMA algorithms. Steps to build ARIMA model and forecasting

mvidiera/TimeSeries-HoltWinter-s

Applying Holt winter's algorithm for time series sales data.

mvidiera/TimeSeriesALgorithms