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1mg_eda

web scrapping and exploratory data analysis on 1mg website

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

academy-evening-first-batch--fullstack-

api_client_fun

argocd-demo

ArgoDC Demo

argocd-example-apps

Example Apps to Demonstrate Argo CD

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-guidelines

A curated list of high quality coding style conventions and standards.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python-projects

📱 ✅ Some awesome projects in python! 📱 ✅

awsdemo

blockchain

Compilation of useful documents and scientific papers about Blockchain & cryptocurrencies.

books

Books

chatbot-using-word2vec-and-cosine-similarity

A conversational chatbot which can provide information of any query about MIST (Military Institute of science and technology). It consists of a dataset named ‘mist_dataset’ which is an excel sheet having 111 data. This dataset represents the responses that our bot will give depending on the query.

cheatsheets

RStudio Cheat Sheets

coding-interview-university

A complete computer science study plan to become a software engineer.

cwru_hpc_durand

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data-science-complete-tutorial

For extensive instructor led learning

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

diabetes_prediction_r

Here In Data mining project, I have imported data in csv format, which is already present in my system database, next to that I must check dimension of data such that I have import every row of data base. After that I have allocated column name to data. Then I checked for null values in dataset, as this dataset does not have any null values. Hence, we are good to go with data analysis. For this data set I have no null values. Then carefully analyze summary of data which gives us most information like mean age, mean glucose, etc., also with this summary we can analyze that if it contains any outliers. Outliers are determined by observing the difference between mean and median for that column. Now we have to set seed so that we will get same results every time when we conduct same results

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

fastapi

fastify

Fast and low overhead web framework, for Node.js

fintech_data

frontend-dev-bookmarks

Manually curated collection of resources for frontend web developers.