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30-days-of-interview-preparation-of-data-science

Hello everyone! 😃 This series will be based on Data Science interview questions for becoming a data scientist. Please do follow the regular Data Science interview questions for the coming 30 days. #day1 Let's Learn Together.😃😃 Hoping for the best outcome and needful for all the enthusiasts of data science.

accessing-web-data-using-python-coursera

Here, using python programming language, a webscrapper has been built to parse data from different web pages of different format such as html,xml, json and REST format.

advance-computer-vision-using-tensorflow

Transfer learning, object detection and localization, Activation map have been discussed in this repository

algorithm-cse-211

All the necessary codes for algorithm course

association-rule-mining-

Here both Apriori and Eclat algorithm has been implemented for Market Purchasing database.

auto-encoder

Performing different operation with auto encoders including variational ones for generative modeling

backend-rest-api_django

basic-and-advance-tensorflow

Different Tensorflow deep learning tasks and operation's collection

basic-java-for-android

beginners-python-projects

Chicky but quite important short projects for beginners including Url shortener, Basic GUI, Digital Clock, Pdf to Audio Converter using different libraries of Python programming language.

brain-tumor-classification

InceptionV3 model has been used using the concept of transfer learning to classify brain tumors from MRI images of figshare dataset.

brain-tumor-detection-basic-model

Here Model.py works on Brain Tumor dataset from Kaggle to determine from brain MRI images whether the brain has tumors or not. And the BrainTumortype.py shows a model which shrinks the image from it's original size to 64*64 and applies VGGnet on that to classify the types of brain tumor the image possesses.

breast-cancer-classification-from-histopathological-images

Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.

cifer-10-modeling

cifer-date-modeling

A model is trained using CIFER-10 dataset which achieved significant accuracy.

copy-move-forger-detection-of-image

Cassia-1 Groundtruth dataset is used for forgery detection purposes

data-analyst-with-python

Working upon different datasets for data import , visualization, insight analysis using Python programming languages and different data manipulation libraries like pandas

data-science-projects

The task was to analyze the movie dataset and find out correlation between movie release date and duration.

data-structures-203-iub

All the codes related to exercise of CSE-203 IUB

data-structures-and-basic-problem-solving

Data Structures such as Arrays,LinkedLists, Vector, Dictionary and solutions of basic problems associated with them.

data-structures-with-python-coursera

Different file manipulation operations using different python data structures such as Dictionary, Lists, Tuples and strings has been implemented in this repository.

database-with-python-coursera.

Here all the codes of exercises are to be completed for passing University of Michigan's Database with Python specialization course has been shown. The exercises includes from creating database, tables within database, counting emails from database using python programming language.

deep-convolutional-neural-network-with-tensorflow

deep-learning-rhyme-projects

Coursera Project Network Projects based on Machine Learning, Computer Vision, Natural Language Processing

dental-website

dimensionality-reduction

Here Three different(more specifically two dimensionality reduction algorithms such as Principal Component Analysis, Linear Decreament Analysis(LDA) and Kernel PCA has been used for dimensionality reduction tasks.

django_stock-market

django_to-do-app

djangoweather

e-commerce