Data Science Boot Camp Material
Dear Friends
This page is dedicated to data science fellows who are attending the Data Science Bootcamp.
The additional course material and certification can be done on the Python for Everybody website.
You can download the Book here - Python for Everybody
Python Certification Link for PCAP
Session
Session on opportunities for researchers in AI On 12 October 2023
Some useful tools to download
Download Anaconda and install it for the execution of Python codes
Online Google Colab for execution of Python code.
Download Thony and install it for debugging the code step by step
For Professional Networking
Material for LinkedIn and Twitter
To Access the day-wise Thumbnails for LinkedIn and Twitter Thanks to Engr. Okasha for his volunteer services.
To Access Day-to-day post material for LinkedIn and Twitter click here, Thanks to Engr. Hamza for his volunteer services.
Week-1 Python Handson
Click here for Week 1 slides and codes on the drive (Monday, July 17, 2023, to Friday, July 21, 2023)
You can practice the given codes on my GitHub https://github.com/MemonML/datascience_bootcamp
Thanks to Mr. Asad. You can access the material slides on Python Hands-on as well as the Github of Mr. Asad Jalbani
Github by (First Week) Trainer Dr. Mirza Touseef on his Github https://github.com/jotdevelopers/PythonTraining
Week-2 Python revision & Machine Learning
Click here for Week 2 slides and codes on the drive
Day 06, Revision Fundamentals of Python/Week 1 Monday, July 24, 2023
Exercise/ Labs (Assignment solutions due 30 July 2023) for Python
Day 07, Numpy Library and Practices Labs, Tuesday, July 25, 2023 (Labs and Practice codes)
Day 08, Machine Learning (Supervised Learning (Linear Regression)) Wed, July 26, 2023 (Practice Code, data set, and Material )
Day 09, Machine Learning ( ) Thursday, July 27, 2023 (Lab Assignment, slides)
You can practice the given codes on my GitHub https://github.com/MemonML/datascience_bootcamp
Thanks to Mr. Asad. You can access the material slides on Python Hands-on as well as the Github of Mr. Asad Jalbani
Week-3 Machine Learning by Dr. Aleem Khaliq
Click here for Week 3 slides and codes on the drive
Day 10, Multivariate Regression/Week 3 Thursday, Aug 03, 2023 (Practice Codes)
Day 11, poly variate Regression/ week 3 Friday, Aug 04, 2023 (Click here for Practice Codes)
Week-4 Machine Learning
Day 12, Logistic Regression (For Classification)/Week 4 Monday, Aug 07, 2023 (Codes/ Assignment)
Day 13, Practice matplotlib, K Nearest Neighbour (KNN) / week 4, Tuesday, Aug 08, 2023 (Codes/ Assignment)
Day 14, Practice Assignment KNN, Bayes Theorem/week 4, Wednesday, Aug 09, 2023 (Codes/ Assignment)
Day 15, Practice, Bayes Theorem/week 4, Thursday, Aug 10, 2023 (Codes/ Assignment)
Day 16, Random Forest /week 5, Friday, Aug 11, 2023 (Codes/ Assignment)
Module-4
Week-5 Machine Learning
Assignments 15 to 21 (15th and 16th due on 15 August)
Day 17, Underfitting (High Bias), Overfitting (High Variance), Bias Variance Trade-off (Best Fit) /Week 5 Tuesday, Aug 15, 2023 (Implementation Codes/ Assignment) / Decision Tree Animation Video
Day 18, Cross Validation, Dimensionality Reduction, Principal Component Analysis (PCA) /Week 5 Wednesday, Aug 16, 2023 (Implementation Codes/ Assignment)
Day 19, K-Means Clustering, Mask /Week 5 Thursday, Aug 17, 2023 (Implementation Codes/ Assignment)
Day 20, SVM, LDA (Linear Discriminant Analysis) for dimensionality reduction, PCA vs LDA/ Week 5 Friday, Aug 18, 2023 (Implementation Codes/ Assignment)
Week-6 ANN
Day 21, Artificial Neural Network for classification, Backpropagation, Hidden Layers, Dense NN /Week 5 Tuesday, Aug 15, 2023 (Implementation Codes/ Assignment)
Day 22, ANN Implementation, Skin Disease Detection, ANN for Regression /Week 6 Tuesday, Aug 22, 2023 (Implementation Codes/ Assignment)
Day 23, Convolutional Neural Network (CNN), Pooling, Filter/Kernal, Flower identification using CNN /Week 6 Wednesday, Aug 23, 2023 (Implementation Codes/ Assignment) [Additional Material for Reading]
Day 24, Data Augmentation Technique for data visualization in two dimensions, Convolutional Neural Network (CNN), VGG NET /Week 6 Thursday, Aug 24, 2023 (Implementation Codes/ Assignment)
Day 25, Building and implementing GUI for trained model /Week 6 Friday, Aug 25, 2023 (Implementation Codes/ Assignment)
Week-7 IoT
Day 26, EDGE IMPULSE for training the IoT devices, using Laptop/Mobile Sensors /Week 7 Monday, August 28, 2023 (Link)
Day 27, IoT Data collection via temperature sensor, LDR, and Ultrasonic sensor, Implementation via Arduino ESP 32 /Week 7 Tuesday, August 29, 2023 (Access the content)
Day 28, Docker, IoT Data collection via temperature sensor Implementation via Arduino ESP 32/ /Week 7 Wednesday, August 30, 2023 (Access the video and tools link)
Day 29, Docker, IoT Data collection via temperature sensor Implementation via Arduino ESP 32/ /Week 7 Thrusday, August 31, 2023 (Link to resources)
Day 30, Docker, IoT Data collection via temperature sensor Implementation via Arduino ESP 32/ /Week 7 Friday, September 01, 2023 (Link to resources) [Project Report]
Week-8 Guest Lectures NLP/ Computer Vision/ Portfolio Management Tips/ LinkedIn Networking Tips
Day 31, Computer Vision /Week 8 Monday, September 04, 2023 (Link)
Day 32, Guest Lecture on Large Language Models (LLMs) by Dr. Ghulam Mujtaba Korai, West Virginia University, USA /Week 8 Tuesday, September 05, 2023 (Video Recording Link)
Day 33, Guest Lecture on LinkedIn and Professional Networking by Dr. Mudasar Latif /Week 8 Wednesday, September 06, 2023
Week-9 SQL and PowerBI
Day 34, SQL Basic (installation SQL Server Management Studio /Week 9 Monday, September 11, 2023 (Link)
Day 35, SQL /Week 9 Tuesday, September 12, 2023 (Link)
Day 36, SQL /Week 9 Wednesday, September 13, 2023 (Link)
Day 37, SQL /Week 9 Thursday, September 14, 2023 (Link)
Day 38, SQL /Week 9 Friday, September 15, 2023 (Link)
Week-10 Natural Language Processing (NLP)
Day 39, NLP Basics, Introduction to NLP, Text Preprocessing, Noise Removal, Lexicon Normalization, Lemmatization, Stemming, Object Standardization, Text to Features (Feature Engineering on text data), Syntactical Parsing, Dependency Grammar, Part of Speech Tagging, Entity Parsing, Phrase Detection, Named Entity Recognition, Topic Modelling, N-Grams, Statistical features, TF - IDF, Frequency / Density Features, Readability Features, Word Embeddings, Important tasks of NLP, Text Classification, Text Matching, Levenshtein Distance, Phonetic Matching, Flexible String Matching, Coreference Resolution, Important NLP libraries/Week 10 Monday, September 18, 2023 (Link)
Day 40, NLP, Bag of words, Embeddings, Semantic Understanding, Vectorization /Week 10 Tuesday, September 19, 2023 (Link)
Day 41, Word2Vec, Transfer Learning and Fine Tuning /Week 10 Wednesday, September 20, 2023 (Link)
Day 42, Word2Vec/ Marriot, /Week 10 Thursday, September 21, 2023 (Link)
Day 43, RNN_LSTM/Week 10 Friday, September 22, 2023 (Link)
Week-12 Power BI
Day 46, Power Bi Dash Board Creation/Week 12 Thursday, October 05, 2023 (Link)
Day 47, Power BI Dash Board Creation with Excel Data set/Week 12 Friday, October 06, 2023 (Link)
Week-13 Big Data
Day 49, Installation of Java JDK, HADOOP/Week 13 Monday, October 09, 2023 (Link)
Day 50, Details of Apache Hadoop Commands, Creation of Local Host /Week 13 Tuesday, October 10, 2023 (Link)
Day 51, SPARK/ COLAB /Week 13 Wednesday, October 11, 2023 (Link)
Day 52, ELASTIC / KIBANA Visulization tool /Week 13 Thursday, October 12, 2023 (Link)
Day 53, /Week 13 Friday, October 13, 2023 (Link)
Week-14 NLP
Some useful links
Free Course Material by Deeplearning.ai Finetuning Large Language Models
Free Course Material on Data Science "Python Ka Chilla, Python in 40 Days" by Dr. Ammar Tufail
Free Course Material on Machine Learning "Machine Learning Ka Chilla, Python in 40 Days" by Dr. Ammar Tufail
Exercises Link
Numpy Practice exercise w3school and w3resources
White Pages, to see the contact information of American residents online (access from US preferable)
Top 7 Github Repositories to Learn Data Science
1. Data Science for Beginners - A Curriculum
🔗 https://lnkd.in/gKWZtXsq
2. Data Scientist Roadmap
🔗 https://lnkd.in/e4sqsyy
3. AWESOME DATA SCIENCE: An open-source Data Science repository to learn and apply towards solving real-world problems.
🔗 https://lnkd.in/ekFfUbs
4. Data Science Projects in Python
🔗 https://lnkd.in/g4QnDquC
5. Data Science Cheatsheets
🔗 https://lnkd.in/eVgcCr7
6. Data Science Interview Resources
🔗 https://lnkd.in/gMwjH5WD
7. Data Science Best Resources
🔗 https://lnkd.in/epaFt_R
Where to find job opportunities for Data Science abroad
Work and relocate to Lithuania https://jobs.workinlithuania.com/ recommended by Data Scientist Dr. Zeeshan Usmani
Email: memon@g.skku.edu Skype: mudaserlateef@gmail.com; Phone/Whatsapp: +92-333-2801047; Website: https://www.mlmemon.com/
For Appointment: Reserve a meeting slot here