Itachi Uchiha's Projects
Scraping techniques to collect data , Hidden Markov Model ,then clean it using NLTK-RE-Stop words , and applying TF-IDF , word2Vec ,Vectorization , POS Tags and apply different models. Also built as Spam classifier using Naive Bayes probabilistic Theorem.
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
Considering a news article & examined for the reliable and accurate prediction. To build a model for predicting the category of news used NLP cleaning techniques & then applied three algorithms.
Jupyter notebooks for the Natural Language Processing with Transformers book
Used pytorch , VGG to detect dogs
To maintain a streak & stay motivated to complete a project everyday , stay updated & learning
Updated 2 minutes ago PLAYER UNKNOWN BATTLEGROUNDS: This includes a pubg dataset which I have taken from kaggle and performed plotting functions. Impressive ! Get in zone and get down !
An open-source, low-code machine learning library in Python
Long Short Term Memory is used for Image Caption Generation | Next Character Prediction | Movie review | Sequence models or feeding the input based on current & past inputs.
Snapchat-alike filters app using opencv
t takes data which contains Student data such as CGPA,No. of backlogs, Technical skills, Communicaton skills and forms a predictive model , which is further used to predict whether a student can be placed or not.Based on this prediction teachers can take care of students who are predicted as 0.With this a student increase his increase performance and prepare accordingly.
Dealed with many time related data such as Unicorn passengers data , and Avocado price data. Here I have used various time series models i.e. ARIMA , SARIMAX , Naive, Smoothing Average technique , Simple Exponential Smoothing , and Holt’s Linear Trend Model to predict in well manner.
Hyper parameter tuning is applied for XGBOOST
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent