You will get an Advanced NLP Analysis
Project details
Advanced NLP Analysis. I cover Bag of Words, Word Embeddings, Topic Modelling, Name Entity Recognition, Natural Language Generation, Text Mining, String Distance and Similarities, Fuzzy Matching, Sentiment Analysis, Text Summarization etc. The models can be LDA, LSTM, xgBoost, Random Forest etc. The tools can be Stanford NER, SpaCy, Scikit-Learn, Tensorflow, Gensim etc
What's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 1 | 1 |
Number of Model Variations | 5 | 5 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 2 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About George
Data Scientist | ML & AI Engineer
81%
Job Success
Athens, Greece - 9:55 am local time
Bsc in Statistics
Bsc in Mathematics
Msc in Financial Mathematics
Programming Languages: R, Python, SQL
Field of Expertise:
- LLM (Openai, ChatGPT, Bedrock, Claude etc)
- Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM etc)
- Statistical Modelling (Hypothesis Testing, Mixture Mixed Models, General Additive Models, Ordinal Regression, EM, MCMC, ARIMA etc)
- Tutoring (helping on assessments/thesis under and post-graduate level)
- Data Visualizations (ggplot2, matplotlib, seaborn)
- Dashboards with Shiny
- Social Network Analysis
- Natural Language Processing (NLTK, Spacy, gensim, word embeddings, sentiment analysis, LDA, word2vec, glove)
- Deep Learning (Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks)
- Deep Learning Frameworks (Tensorflow, Theano, Keras)
Steps for completing your project
After purchasing the project, send requirements so George can start the project.
Delivery time starts when George receives requirements from you.
George works on your project following the steps below.
Revisions may occur after the delivery date.
Data and the Description
See the Data and the Description
Personal Notes
Share with me your tutorial, lecture notes, past project etc