Pinned Repositories
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-public-datasets
A topic-centric list of HQ open datasets.
cheatsheets
RStudio Cheat Sheets
Critical_Data_Analysis
This Project is focused on building the Model for House-Analysis Data using Linear and Logistic Regression Model
Critical_Data_Ananlysis_dummy
This is a model of housing prices based using multiple regression and logistic regression in R
data-engineering-zoomcamp
Free Data Engineering course!
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.
Data_Engineering
Projects related Data Engineering Zoomcamp hosted by @DataTalksClub
MachineLearning-Projects
Spotify_ETL
dmkarthiksrini's Repositories
dmkarthiksrini/Data_Engineering
Projects related Data Engineering Zoomcamp hosted by @DataTalksClub
dmkarthiksrini/Critical_Data_Analysis
This Project is focused on building the Model for House-Analysis Data using Linear and Logistic Regression Model
dmkarthiksrini/Critical_Data_Ananlysis_dummy
This is a model of housing prices based using multiple regression and logistic regression in R
dmkarthiksrini/data-engineering-zoomcamp
Free Data Engineering course!
dmkarthiksrini/MachineLearning-Projects
dmkarthiksrini/Spotify_ETL
dmkarthiksrini/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
dmkarthiksrini/awesome-public-datasets
A topic-centric list of HQ open datasets.
dmkarthiksrini/cheatsheets
RStudio Cheat Sheets
dmkarthiksrini/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.
dmkarthiksrini/Distributed_Data_Analysis
The goal of the project is to gain understanding and value from analysing disparate data sets. We will put into practise a number of different analytic methods, techniques, and algorithms, assess their performance, and then compare them to one another. Teamwork and regular meetings will aid in the planning and execution of the data analysis.
dmkarthiksrini/dmkarthiksrini
Config files for my GitHub profile.
dmkarthiksrini/dmkarthiksrini.github.io
dmkarthiksrini/DS-Learning
Learning Notes for Data structures
dmkarthiksrini/pipeline-project
dmkarthiksrini/workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
dmkarthiksrini/first-contributions
🚀✨ Help beginners to contribute to open source projects
dmkarthiksrini/freeCodeCamp
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
dmkarthiksrini/Data-Visualization
dmkarthiksrini/Dissertation
Masters Dissertation
dmkarthiksrini/Distributed_Data_Analysis_Python
The goal of the project is to gain understanding and value from analysing disparate data sets. We will put into practise a number of different analytic methods, techniques, and algorithms, assess their performance, and then compare them to one another. Teamwork and regular meetings will aid in the planning and execution of the data analysis.
dmkarthiksrini/Docker_Project
dmkarthiksrini/gitignore
A collection of useful .gitignore templates
dmkarthiksrini/MapReduce
This objective behind this is to learn MapReduce Model within the Hadoop Framework that is used to access big data stored in the Hadoop File System (HDFS).