Prateek Tyagi's repositories
Smart-AI-Assistant-
This is a visual studio code task in which an AI Assistant Alex performs various tasks like playing songs, sending emails, shutting down system etc by taking voice commands.
The-Sparks-Foundation-Task-3
Create a Decision Tree Classifier from Iris dataset and visualize it graphically.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
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.
FIFA-19-players-data-visualization
FIFA 19 is a football simulation video game developed by EA Vancouver as part of Electronic Arts' FIFA series. It is the 26th installment in the FIFA series, and was released on 28 September 2018 for PlayStation 3, PlayStation 4, Xbox 360, Xbox One, Nintendo Switch, and Microsoft Windows. The game features the UEFA club competitions for the first time, including the UEFA Champions League and UEFA Europa League and the UEFA Super Cup as well. In June 2019, a free update added the FIFA Women's World Cup as a separate game mode. This is the last game in the FIFA series to be available on a seventh-generation console, and the last known game to be available for the PlayStation 3 worldwide.
Face-and-Eye-Detection
This work sample contains the face and eye recognition process of a test image. This is my third beginner project on Natural Language Processing where I am going to detect face and eye of a person from a sample image.
Pedestrian-Detection-
This dataset contains video of various pedestrian walking on the street. This is my beginner project on Natural Language Processing where I am going to detect many moving pedestrians.
Spam-or-Ham-detection-using-Naive-Bayes-Classifier-Basic-Approach__NLP_
This dataset consists of about 5572 SMS messages and a label, classifying the message as "spam" or "ham". Based on the various preprocessing techniques, I am going to build a Naive Bayes Classifier model that will classify unknown messages as "spam" or "ham".
Churn-modelling_ANN-algorithm_DeepLearning
This data set contains details of a bank's customers and the goal is to predict whether the customer will leave or left the bank or will continues to be a customer.
Price-prediction-of-used-cars_MachineLearning_
This dataset contains the data of 370000 used cars in germany. The goal is to train a linear regression model from this interesting dataset in order to predict the value of a used car.
Predict-the-income-of-the-person_MachineLearning_
To predict whether the income of a person exceeds 50K per year based on some census data.
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
LearnDataScience
Open Content for self-directed learning in data science