Merge pull request practical-tutorials#76 from sayands/master

Added Object Detection, Sentiment Analysis, Scraping, HTML and D3.js Tutorials

Author: tuvtran

README.md

@@ -117,6 +117,7 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
 ## HTML and CSS:
 
 * [Build A Loading Screen](https://medium.freecodecamp.org/how-to-build-a-delightful-loading-screen-in-5-minutes-847991da509f)
+* [Build an HTML Calculator with JS](https://medium.freecodecamp.org/how-to-build-an-html-calculator-app-from-scratch-using-javascript-4454b8714b98)
 
 ### Mobile Application:
 
@@ -178,6 +179,7 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
 #### D3.js
 
 * [Learn D3 using examples](https://www.sitepoint.com/d3-js-data-visualizations/)
+* [Learn To Make A Line Chart](https://medium.freecodecamp.org/learn-to-create-a-line-chart-using-d3-js-4f43f1ee716b)
 
 ### Game Development:
 
@@ -232,6 +234,7 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
 * [Mining Twitter Data with Python](https://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/)
 * [Scrape a Website with Scrapy and MongoDB](https://realpython.com/blog/python/web-scraping-with-scrapy-and-mongodb/)
 * [How To Scrape With Python and Selenium WebDriver](http://www.byperth.com/2018/04/25/guide-web-scraping-101-what-you-need-to-know-and-how-to-scrape-with-python-selenium-webdriver/)
+* [Which Movie Should I Watch using BeautifulSoap](https://medium.com/@nishantsahoo.in/which-movie-should-i-watch-5c83a3c0f5b1)
 
 ### Web Applications:
 
@@ -285,11 +288,19 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
 * [Build An Image Caption Generator](https://medium.freecodecamp.org/building-an-image-caption-generator-with-deep-learning-in-tensorflow-a142722e9b1f)
 * [Make your Own Face Recognition System](https://medium.freecodecamp.org/making-your-own-face-recognition-system-29a8e728107c)
 * [Train a Language Detection AI in 20 minutes](https://towardsdatascience.com/how-i-trained-a-language-detection-ai-in-20-minutes-with-a-97-accuracy-fdeca0fb7724)
+* [Object Detection With Neural Networks](https://towardsdatascience.com/object-detection-with-neural-networks-a4e2c46b4491)
 * Learn Twitter Sentiment Analysis -
-  * [Part I](https://towardsdatascience.com/another-twitter-sentiment-analysis-bb5b01ebad90)
-  * [Part II](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-2-333514854913)
-  * [Part III](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-3-zipfs-law-data-visualisation-fc9eadda71e7)
-  * [Part IV](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-4-count-vectorizer-b3f4944e51b5)
+  * [Part I - Data Cleaning](https://towardsdatascience.com/another-twitter-sentiment-analysis-bb5b01ebad90)
+  * [Part II - EDA, Data Visualisation](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-2-333514854913)
+  * [Part III - Zipf's Law, Data Visualisation](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-3-zipfs-law-data-visualisation-fc9eadda71e7)
+  * [Part IV - Feature Extraction(count vectoriser)](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-4-count-vectorizer-b3f4944e51b5)
+  * [Part V - Feature Extraction(Tfidf vectoriser)](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-5-50b4e87d9bdd)
+  * [Part VI - Doc2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-6-doc2vec-603f11832504)
+  * [Part VII - Phrase Modeling + Doc2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-7-phrase-modeling-doc2vec-592a8a996867)
+  * [Part VIII - Dimensionality Reduction](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-8-dimensionality-reduction-chi2-pca-c6d06fb3fcf3)
+  * [Part IX - Neural Nets with Tfdif vectors](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-9-neural-networks-with-tfidf-vectors-using-d0b4af6be6d7)
+  * [Part X - Neural Nets with word2vec/doc2vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-10-neural-network-with-a6441269aa3c)
+  * [Part XI - CNN with Word2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-11-cnn-word2vec-41f5e28eda74)
 * [Use Transfer Learning for custom image classification](https://becominghuman.ai/transfer-learning-retraining-inception-v3-for-custom-image-classification-2820f653c557)
 
 ### Miscellaneous: