Example Image with Text
Use this Image with Text block to balance out your text content with a complementary visual to strengthen messaging and help your students connect with your product, course, or coaching. You can introduce yourself with a profile picture and author bio, showcase a student testimonial with their smiling face, or highlight an experience with a screenshot.
Example Text
Use this Text block to tell your course or coaching’s story.
Write anything from one-liners to detailed paragraphs that tell your visitors more about what you’re selling.
This block - along with other blocks that contain text content - supports various text formatting such as header sizes, font styles, alignment, ordered and unordered lists, hyperlinks and colors.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Curriculum
- Mlops Introduction (152:53)
- python basics | List and nested list in python | Data analysis and pandas (267:16)
- Numpy Array | Image processing | Image cropping | Data analysis basiccs and linere regression (275:45)
- Regression model concept | Linear regression | Image processing (247:13)
- Linear regression | Python basics | Image processing (250:49)
- Linear regression , Prediction, Ml model, Matplotlib, Sklearn, Seaborn, Loss function, Metrices, Feature elimination (265:37)
- Linear regression | Feature selection | multi linear regression | computer vision (232:48)
- Computer vision ( opencv2 ) | Pre-trained model | Haarcascade model | Ip webcam integration | Multi linear regression (263:24)
- Multi linear regression | Feature selection | Feature engineering concept | Categorial variable | Dummy variable | Multi co-linearity, (233:42)
- Dimensity reduction | feature selection | feature extraction | linear regression | p-value and significance level | OLS and backward elimination and wrapper methond (163:54)
- neural learning / Dl | image processsing | OLS | feature selection | gretl | graphs | object detection | face recognization | docker | linux basics (271:08)
- Tensorflow | Scalar | lazy execution | Eager execution | Perceptron model | Gradient descent (200:01)
- Graph | Tensorflow | DL | Neural Network | Artificial neural network | Activation function | CNN concept (145:55)
- Activation function | DL | Regression | Classification | Feed forward Forward Propogation | Back propagation | Keras (267:57)
- Neural network | Data visualization | graph | folium | Object detection | CNN | YOLO-Setup and Use | Optimizer | Initializer (257:09)
- Data visualization | Classification | Histogram | Graph | Heatmap | Regression | Binary classification (265:34)
- Binary Classification | Model using sigmoid function | Logistic regression | visuals, searborn | graph | bar graph | Discrete variable | frequency distribution table | One hot encoding | Feature Engineering | Missing value resolving using feature engineering | Imputation (123:46)
- Visualization | Exploratory data analysis | One hot label encoding | Nan | Binary class | logistic regression | confusion matrix (118:54)
- Graph | Seaborn | folium | Seaborn | Pandas | Plotly | Cuffling (115:47)
- 29. Logistic regression | Lazy learning | K-nearest neighbours algo | Pattern recognizing KNN (115:42)
- 30. Supervised learning | Unsupervised learning | Clustering | Soft clustering ( soft kmeans ) (139:24)
- 31. Feature scaling | Standardization | Normalization | Kmeans | Iterations (136:03)
- Docker Basic Commands | Launching container | Ephemeral storage | Persistent storage | Mounting volume | Configuring the Web Server | Curl Command (112:44)
- Docker Basic Commands | Launching container | Port Number | Configure Container as Webserver and Database Server | Environmental Variables (114:19)
- Word Press | MySQL | Set-up Three Tier Architecture | Patting | Hosting a Webpage | Container Linking (122:16)
- Docker Networking | NAT | Networking Basics | SDN | Network Infrastructure | Bridge (129:29)
- Runtime | Plugins | NAT | Bridge Network Interface | SDN | DHCP | DNS | Subnet | Gateway | IPAM | Custom Network Infrastructure (135:17)
- Create Own Images | Commit | Code | Clone a running Container| Keywords | Non-interactive Commands | Interactive Commands | Docker File | Build Time | Run Time (134:27)
- Docker File | Docker Commit Command | Run Keyword | CMD Keyword | Run Time | Build Time | DFOREGROUND Option | Share Image | Docker Save Command | Docker Load Command (88:16)
- Docker Registry | Docker Hub | Different ways of creating image | ENTRYPOINT keyword in docker file | Install Python Software in conatiner | -t Option RUN command | Copy files in container | Creating image | Passing python program files as arguments | MAINTAINER keyword | Docker login | Docker push (121:52)
- PID | Why Docker is Superfast? | Need of OS | Process | Nested Process | Pgrep Command | /proc directory | Bash Shell | Kernel | Cgroup (98:19)
- Docker inside docker | Dockerd program | Container socket | Sharing base system socket | Chattr command | docker capabilities | Removing capabilities in a container | Adding capabilities in a container | privileged keyword | Cap-drop keyword | Cap-add keyword | Server hardening | Security (124:03)
- Session 1 - 4th Sept-Difference between NLP and nlu | sentiment analysis | implementation of textblob | polarity | subjectivity | objectivity (109:15)
- Session 2 - 5th Sept-Implementation on dataset | data handling with pandas | textblob implementation on data (82:44)
- Session 3 - 6th Sept-Tokenization | lemmatization | stemming | implementation of nltk (103:26)
- Session 4 - 7th Sept-nltk installation | WordNet | Spacy | Automatic Conversion from uppercase to lowercase (113:47)
Example Image with Text
Use this Image with Text block to balance out your text content with a complementary visual to strengthen messaging and help your students connect with your product, course, or coaching. You can introduce yourself with a profile picture and author bio, showcase a student testimonial with their smiling face, or highlight an experience with a screenshot.
Example Featured Products
Showcase other available courses, bundles, and coaching products you’re selling with the Featured Products block to provide alternatives to visitors who may not be interested in this specific product.
